Top AI Engineer Jobs Openings in 2025

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AI at ZapierAt Zapier, we build and use automation every day to make work more efficient, creative, and human. So if you’re using AI tools while applying here - that’s great! We just ask that you use them responsibly and transparently.Check out our guidance on How to Collaborate with AI During Zapier’s Hiring Process, including how to use AI tools like ChatGPT, Claude, Gemini, or others during our hiring process - and when not to.Job Posted: 12/4/2025Hi there!Zapier is on a mission to make automation accessible to everyone, empowering people and businesses to be more efficient and productive. We’re seeking a Sr. Director of Engineering to lead our AI Orchestration engineering organization. In this role, you’ll manage multiple engineering squads to innovate and deliver AI solutions. You will lead AI engineering execution across the build organization.This role will report to Zapier’s CPTO (Chief Product and Technology Officer) and will partner with the Director of Product - AI.We know applying for and taking on a new job at any company requires a leap of faith. We want you to feel comfortable and excited to apply at Zapier. To help share a bit more about life at Zapier, here are a few resources in addition to the job description that can give you an inside look at what life is like at Zapier. Hopefully, you'll take the leap of faith and apply.Our Commitment to ApplicantsCulture and Values at ZapierZapier Guide to Remote WorkZapier Code of ConductDiversity and Inclusivity at ZapierZapier is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.About YouYou’re a hands-on technical leader who thrives at the intersection of AI innovation and real-world product impact. You combine a deep understanding of AI and ML systems with the ability to apply them pragmatically to ship customer-facing products that solve meaningful problems.You’re passionate about applied AI engineering. You stay at the forefront of AI development and experimentation, and your peers look to you for insight, vision, and guidance on how to best leverage AI for customers and in day-to-day execution.You're driven to ship user-facing ML and LLM-powered products. You’ve had hands-on experience building and shipping user-facing LLM features, training and tuning models, and integrating them into end-to-end products. Beyond AI, you’re a trusted technical architect who makes pragmatic tradeoffs to deliver quickly and with impact.You think strategically and act pragmatically. You can see where AI is heading and use that vision to guide near-term architecture, tradeoffs, and execution. You’re comfortable with ambiguity and can chart a path forward even when the technology is evolving.You’re customer-obsessed. You deeply understand customer needs and are passionate about delivering high-quality solutions to our customers. You have a passion for building products that delight both internal and external customers, making their jobs easier and more productive. You thrive on working directly with customers and support and customer success teams towards the common outcome.You can develop and sell a vision and strategy to your team and across the org. You have a good sense of vision and strategy, and you’re able to translate that strategy into successful execution through experimentation and continuous improvement. You partner closely with product management, design, marketing, and the support organizations to drive and achieve business outcomes.You’re motivated by shaping what’s next. You want to define how millions of people experience automation in the AI era and help lead Zapier’s next generation of customer-facing products.You are a skilled mentor, coach, and engineering leader who holds a high bar for talent. You have a passion and a track record of mentoring engineers and leaders, while also growing your own skills. You've introduced and broadened engineering practices and enhanced engineering cultures. You hold a high bar for talent and increase talent density within your organization through effective hiring, growing and upskilling your team, and performance management.Things You’ll DoLead Zapier’s AI Orchestration Zone in partnership with Product and Design. Co-own one of the company’s most strategic initiatives, unifying core AI capabilities, driving technical direction, and shaping how AI is applied across Zapier’s products to create differentiated customer experiences.Prototype and push the boundaries of applied AI. Experiment with new models, tools, and approaches to deliver impactful, production-ready AI features that extend Zapier’s automation capabilities.Build and mentor a world-class engineering organization. Attract, develop, and retain exceptional talent while fostering a culture of technical excellence, curiosity, and velocity.Drive a culture of innovation and technical rigor. Balance exploration with execution by turning emerging AI capabilities into scalable, reliable features that create measurable customer impact.Foster cross-functional alignment. Collaborate with Product, Design, and Go-to-Market partners to define the AI roadmap, ensure execution against company strategy, and translate bold ideas into tangible outcomes.Champion engineering excellence. Guide architectural decisions, evolve Zapier’s AI infrastructure, and uphold best practices in reliability, scalability, and agile development.Shape Zapier’s next chapter. Play a key role in defining what AI-powered automation looks like for millions of customers and how Zapier evolves into an intelligent orchestration platform.How to ApplyAt Zapier, we believe that diverse perspectives and experiences make us better, which is why we have a non-standard application process designed to promote inclusion and equity. We're looking for the best fit for each of our roles, regardless of the type of companies in your background, so we encourage you to apply even if your skills and experiences don’t exactly match the job description. All we ask is that you answer a few in-depth questions in our application that would typically be asked at the start of an interview process. This helps speed things up by letting us get to know you and your skillset a bit better right out of the gate. Please be sure to answer each question; the resume and CV fields are optional.Education is not a requirement for our roles; however, if you receive an offer, you will need to include your most recent educational experience as part of our background check process.After you apply, you are going to hear back from us—even if we don’t see an immediate fit with our team. In fact, throughout the process, we strive to never go more than seven days without letting you know the status of your application. We know we’ll make mistakes from time to time, so if you ever have questions about where you stand or about the process, just ask your recruiter!Zapier is an equal-opportunity employer and we're excited to work with talented and empathetic people of all identities. Zapier does not discriminate based on someone's identity in any aspect of hiring or employment as required by law and in line with our commitment to Diversity, Inclusion, Belonging and Equity. Our code of conduct provides a beacon for the kind of company we strive to be, and we celebrate our differences because those differences are what allow us to make a product that serves a global user base. Zapier will consider all qualified applicants, including those with criminal histories, consistent with applicable laws.Zapier prioritizes the security of our customers' information and is dedicated to adhering to all applicable data privacy laws. You can review our privacy policy here.Zapier is committed to inclusion. As part of this commitment, Zapier welcomes applications from individuals with disabilities and will work to provide reasonable accommodations. If reasonable accommodations are needed to participate in the job application or interview process, please contact jobs@zapier.com.Application Deadline:The anticipated application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later, or if the position is filled.Even though we’re an all-remote company, we still need to be thoughtful about where we have Zapiens working. Check out this resource for a list of countries where we currently cannot have Zapiens permanently working.

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AI Agent Deployment Engineering ManagerReports to: Head of Deployment / ProductMagical’s agentic AI platform brings AI Agents into the workplace to take over repetitive, soul-crushing workflows that slow teams down. Our customers, especially in healthcare, use Magical to automate high-stakes, high-complexity processes.The shift to agentic work is accelerating, and we’re leading it. Our AI Deployment Engineering team is the engine behind that shift. As we scale to a team of 30 people, we’re hiring a hands-on, detail-obsessed leader who can build both the people and the systems required to deliver world-class deployments in high-stakes customer environments.We’re backed by the investors behind OpenAI, Anthropic, Hugging Face, and Notion, including Greylock, Bain Capital, Coatue, Altman Capital, and Lightspeed. About the RoleYou’ll lead and scale Magical’s AI Deployment Engineering team — the technical, customer-facing group responsible for implementing our AI Agents into customer environments.You'll manage and dive into the details every day:Reviewing workflow logic and agentic designsTroubleshooting issues directlyProject-managing customer launchesRecruiting, onboarding, and developing new AI Agent EngineersCreating systems, templates, and processes that make the team faster and more predictableYou will own both delivery and quality, ensuring customers go live quickly, reliably, and with an experience that feels unmistakably Magical. What You’ll DoScale & Lead the TeamGrow the AI Agent Engineering team from 8 → ~25 by EOY 2026.Recruit, hire, and onboard top-tier talent with engineering, QA, or test backgrounds.Build a culture of ownership, precision, and customer obsession.Establish performance management, leveling, and clear expectations.Drive World-Class DeliveryOversee the design, build, testing, and launch of agentic workflows across healthcare and payer/provider customers.Stay hands-on with builds early on to set the quality bar and expectations.Ensure deployments meet reliability, latency, and quality standards.Operational ExcellenceBuild rigorous systems for project management, QA, review cycles, and documentation.Create reusable components, templates, and tooling that dramatically speed up future builds.Reduce deployment timelines from weeks to days through process improvement and standardization.Customer & Stakeholder ManagementAct as the senior escalation point for complex customer issues.Interface directly with customer engineering teams, PMs, and operational leaders.Set expectations clearly, communicate proactively, and manage timelines confidently.Feed real-world deployment learnings into Product and Engineering to improve the platform.Raise the Quality BarImplement detailed workflow and logic reviews with consistency.Drive best practices in agentic design, testing, and performance tuning.Ensure every deployment is robust, maintainable, and production-grade. About YouMust-Have Leadership TraitsYou’ve managed 20+ technical ICs before (pods, squads, or distributed groups).Obsessively detail-oriented — nothing escapes your field of view.Hands-on operator who works in the weeds, not above them.Obsessive commitment to quality in logic, workflows, and customer experience.Customer-obsessed, especially in high-pressure or healthcare environments.Exceptional project manager who can juggle many active deployments simultaneously.Clear, direct communicator with customers and internal teams.Able to recruit, hire, and build a high-performing AI Agent Engineering team.Experience delivering technical solutions to customers, ideally in environments requiring precision and reliability.Background in engineering, QA, or testing — strong technical underpinning is mandatory.Bonus ExperienceHealthcare deployments (EHRs, payer systems, portals)Multi-agent orchestration or LLM/automation workQA automation or test engineering foundationsStartup or 0→1 team-building experienceConsulting or forward-deployed engineering roles What We OfferThe opportunity to build and scale one of the world’s first Forward Deployed AI Engineering teams focused on HealthcareA chance to shape how AI Agents are deployed into mission-critical, real-world systemsCompetitive salary + meaningful equityUnlimited PTOEpic offsites (Iceland, Lisbon, Cancun, Costa Rica)Cutting-edge AI tools and infrastructure

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  About the Company Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere.     About the role At Armada, we are unlocking the limitless potential of AI to transform operations and improve lives in some of the most remote locations on Earth. From the expansive mines of Australia to the oil fields of Northern Canada, and the coffee plantations of Colombia, Armada offers a unique opportunity to tackle exciting AI and ML challenges on a global scale. We are actively seeking passionate AI Engineers with hands-on expertise across a range of domains, including real-time computer vision, statistical machine learning, natural language processing, transformers, control and navigation, reinforcement learning, and large-scale distributed AI systems. Ideal candidates will possess strong skills in machine learning (ML), deep learning (DL), and real-time computer vision techniques. You will be responsible for building ML/DL models tailored to specific challenges, preparing datasets for testing, evaluating model performance, and deploying solutions in production environments. Familiarity with containerization, microservices architecture, and the ability to independently deploy ML models into production is essential. If you are a self-driven individual with a passion for cutting-edge AI, we want to hear from you. Armada offers an unparalleled opportunity to confront some of the most thrilling AI and ML challenges in the world. Join our dynamic AI Engineering team as we deliver disruptive edge-compute systems capable of autonomous learning, prediction, and adaptation using vast, real-time datasets. We are pioneers in developing high-performance computing solutions for self-driving cars, camera networks, robotics, drones, conversational agents, and real-time monitoring and diagnostic systems. Our vision is to empower AI systems to seamlessly and securely interact with the complexities and uncertainties of the real world, and our mission is to bridge the digital divide in the process.  Location. This role is office-based at our Bellevue, Washington office.  What You'll Do (Key Responsibilities) Translating business requirements into requirements for AI/ML models. Preparing data to train and evaluate AI/ML/DL models. Building AI/ML/DL models by applying state-of-the-art algorithms, especially transformers. In some cases, leverage existing algorithms from academic or industrial research. Testing, evaluating the AI/ML/DL models, benchmarking their quality, and publishing the models, data sets, and evaluations. Deploying the models in production by containerizing the models. Working with customers and internal employees to refine the quality of the models. Establishing continuous learning pipelines for models with online learning or transfer learning. Building and deploying containerized applications on the cloud or on-premise environments Required Qualifications BS or MS degree in computer science, computational. science/engineering, or related technical field (or equivalent experience). 3+ years of work-related experience in software development with good Python, Java, and/or C/C++ programming skills. Familiarity with containers, numeric libraries, modular software design. Hands-on expertise with traditional statistical machine learning techniques as well as deep-learning and natural language processing modeling. Expertise in supervised, unsupervised, and transfer learning techniques. Hands-on expertise in machine learning techniques and algorithms with a strong background in state-of-the-art DNN architectures (Transformers, CNN, R-CNN, RNN, BERT, GAN, autoencoders, etc.) and experience in developing or using major deep learning frameworks (e.g., PyTorch, Tensorflow, etc). Experience with solving and using machine learning for real-world problems. Preferred Experience and Skills Demonstrable experience in building, programming, and integrating software and hardware for autonomous or robotic systems. Proven experience producing computationally efficient software to meet real-time requirements. Background with container platforms such as Kubernetes. Strong analytical skills with a bias for action. Strong time-management and organization skills to thrive in a fast-paced, dynamic environment. Solid written and oral communications skills. Good teamwork and interpersonal skills. Compensation For U.S. Based candidates: To ensure fairness and transparency, the starting base salary range for this role for candidates in the U.S. are listed below, varying based on location experience, skills, and qualifications. In addition to base salary, this role will also be offered equity and subsidized benefits (details available upon request). Benefits Competitive base salary and equity Medical, dental, and vision (subsidized cost) Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA) Retirement plan options, including 401(k) and Roth 401(k) Unlimited paid time off (PTO) 15 paid company holidays per year #LI-AB1 #LI-Onsite   Compensation$134,400—$168,000 USD  You're a Great Fit if You're A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge  A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude  Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda  Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you    Equal Opportunity Statement At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.   Unsolicited Resumes and Candidates Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.  

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About the RoleThe mission of Neural Concept’s ML Application Engineering team is to help our customers in Korea solve their most complex engineering challenges. We collaborate closely with engineering and design teams within the automotive, aerospace and energy industries, understand their challenges and pains, and help them identify solutions to accelerate their conception processes. We leverage our platform to unlock the value of the most complex computer-aided engineering datasets and to create a direct impact on product design processes. Using 3D deep learning and engineering intelligence, we empower our customers to develop better products faster.As a key player in the Application Engineering Team, your mission will be to help industry leaders to redefine their product design workflow with cutting-edge technologies. Your expertise should establish trust and admiration from our customers by delivering high-quality technical work. This is a chance to be at the intersection of engineering and AI, working with top-tier customers worldwide while shaping how the industry evolves. If you are interested in feeling firsthand the fast progress of engineering, this is the team for you.What you will do You will run projects together with our customer’s engineering teams, analyze and process engineering data using our platform and python libraries, and develop tailored solutions and workflowsYou will apply our machine- and deep-learning workflows to different engineering/physics problems, as well as deliver proofs-of-concept demonstrating how our technology creates value in CAD, CAE, and manufacturing. You will train customer teams to effectively use our methods and platform, ensuring smooth AI adoption into their workflows.You will work closely with our developers to translate customer needs and feedback into product improvements.Who you are You are eager to tackle real-world challenges through machine learning and automation, with a passion for reshaping how engineering is practiced by industry leadersYou hold a Master’s or PhD degree in Engineering, Applied Mathematics, or Physics You have an excellent understanding of both Engineering and Machine Learning (strict requirement)You have strong experience with Python programming, and experience with machine learning and deep learning frameworks and libraries (strict requirement)You have experience with simulation. Industry experience in CAD / CAE (CFD, FEM, etc) modelling is a plus You can convey technical concepts to both technical and non-technical stakeholders in a clear and compelling way You have excellent communication skills, enjoy working with people, and feel comfortable in the customer-facing roleYou are fluent in English and Korean (preferably native)- mandatory requirement.What You GetWork with a world-class technology team – our engineers are top-notch, and we always aim for excellence.Benefit from a competitive salary and rewarding opportunities as we continue to scale.Thrive in a collaborative, multicultural environment where your work is visible and recognized.Develop professionally alongside talented colleagues who share knowledge freely and support one another.Make a global impact by helping customers shift to AI-assisted design, making innovation faster, smarter, and more sustainable.Balance life and work with a hybrid model and flexible hours—we care about results, not rigid schedules.What You Will BeLocation : Lausanne, SwitzerlandEligibility: we do provide Swiss visa sponsorship for a successful candidateTravelling: Regular travels to South KoreaWe're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.

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AI at ZapierAt Zapier, we build and use automation every day to make work more efficient, creative, and human. So if you’re using AI tools while applying here - that’s great! We just ask that you use them responsibly and transparently.Check out our guidance on How to Collaborate with AI During Zapier’s Hiring Process, including how to use AI tools like ChatGPT, Claude, Gemini, or others during our hiring process - and when not to.Hi there,Zapier is looking for an Engineering Manager to lead our AI Tasks team, the group responsible for making AI accessible, trustworthy, and productive for every Zapier user. This team builds the experiences that combine AI automation with human oversight, enabling complex workflows that were previously impossible. From guided prompting, AI powered task execution, and human-in-the-loop controls, AI Tasks is where AI meets real user needs safely, intuitively, and at scale.Our mission is simple: unlock new automation possibilities through the combination of AI and human control. We help users go from their first AI experiment to confidently running advanced workflows by designing experiences that meet them where they are, whether they’re novices exploring AI for the first time or power builders scaling AI across their organization.As the Engineering Manager for AI Tasks, you’ll lead the team responsible for removing the biggest barriers to AI adoption: discovery, blank-canvas prompting, trust, and complexity. This is a unique opportunity to define how AI becomes part of everyday automation for millions of people.If you’re excited about making AI work for everyone—not just experts—this is the role for you.Our Commitment to ApplicantsCulture and Values at ZapierZapier Guide to Remote WorkZapier Code of ConductDiversity and Inclusivity at ZapierAbout YouYou've shipped LLM-powered products. You have hands-on experience building and shipping LLM features, with bonus points for features that help non-experts succeed with AI such as human in the loop or guided prompting.You’re willing to get your hands dirty. You thrive in ambiguous, fast-moving environments where rapid iteration is key. You’re comfortable prototyping user-facing AI flows, running experiments, and learning from real user behavior. You're comfortable with ambiguity and enjoy the process of turning vision into reality.You are a skilled engineering leader. You have a proven track record of building high-quality, production-level code. You're fluent in our tech stack (Typescript, React, Nodejs, Python, Django) and comfortable learning new technologies.You have excellent communication skills. You regularly work with engineers and other stakeholders from various disciplines, balancing engineering concerns, such as technical debt, with product concerns. Ideally, you find solutions that address both the team and user needs, but if not, help build understanding around difficult decisions.You stay technically engaged. You regularly pair with engineers to support technical decision-making despite not being an IC.You balance architecture with pragmatism. You make informed technical decisions, knowing when to plan meticulously and when to move quickly.You prioritize outcomes over process. You implement lightweight processes that drive results without creating unnecessary red tape.You champion frequent deployments. You believe in shipping code regularly and improving through real-world feedback rather than seeking perfection.You solve problems creatively. You tackle challenges with a can-do attitude, recognizing when to build new features versus strengthening foundations.You put users first. Your decisions and leadership are guided by user needs and improving their experience.You build relationships across teams. You collaborate effectively beyond your team and influence technical decisions for the company's benefit.Things You’ll DoLead and develop a team of 4-6 engineers, providing technical direction, mentorship, and career growth opportunities.Work with the engineering team to make, evaluate, and advocate for architectural decisions that align with Zapier's vision and technical standards.Collaborate across engineering teams to evaluate and inform their technical decisions, creating alignment and removing blockers for the execution of Agents roadmap.Collaborate closely with Product and Design to understand user needs—particularly around discovery, trust, and complexity—and translate those insights into intuitive, effective AI features.Champion problem-solving by identifying technical challenges and improving engineering processes.Partner with key stakeholders to tackle user problems effectively.Communicate effectively to lead your team and keep leadership informed on your team’s progress through one-on-ones, team meetings, and leadership updates.Foster a culture of experimentation, rapid learning, and continuous improvementHow to ApplyAt Zapier, we believe that diverse perspectives and experiences make us better, which is why we have a non-standard application process designed to promote inclusion and equity. We're looking for the best fit for each of our roles, regardless of the type of companies in your background, so we encourage you to apply even if your skills and experiences don’t exactly match the job description. All we ask is that you answer a few in-depth questions in our application that would typically be asked at the start of an interview process. This helps speed things up by letting us get to know you and your skillset a bit better right out of the gate. Please be sure to answer each question; the resume and CV fields are optional. Education is not a requirement for our roles; however, if you receive an offer, you will need to include your most recent educational experience as part of our background check process.After you apply, you are going to hear back from us—even if we don’t see an immediate fit with our team. In fact, throughout the process, we strive to never go more than seven days without letting you know the status of your application. We know we’ll make mistakes from time to time, so if you ever have questions about where you stand or about the process, just ask your recruiter!Zapier is an equal-opportunity employer and we're excited to work with talented and empathetic people of all identities. Zapier does not discriminate based on someone's identity in any aspect of hiring or employment as required by law and in line with our commitment to Diversity, Inclusion, Belonging and Equity. Our code of conduct provides a beacon for the kind of company we strive to be, and we celebrate our differences because those differences are what allow us to make a product that serves a global user base. Zapier will consider all qualified applicants, including those with criminal histories, consistent with applicable laws.Zapier prioritizes the security of our customers' information and is dedicated to adhering to all applicable data privacy laws. You can review our privacy policy here. Zapier is committed to inclusion. As part of this commitment, Zapier welcomes applications from individuals with disabilities and will work to provide reasonable accommodations. If reasonable accommodations are needed to participate in the job application or interview process, please contact jobs@zapier.com. Application Deadline:The anticipated application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later, or if the position is filled.Even though we’re an all-remote company, we still need to be thoughtful about where we have Zapiens working. Check out this resource for a list of countries where we currently cannot have Zapiens permanently working.

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  About the Company Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere.     About the role At Armada, we are unlocking the limitless potential of AI to transform operations and improve lives in some of the most remote locations on Earth. From the expansive mines of Australia to the oil fields of Northern Canada, and the coffee plantations of Colombia, Armada offers a unique opportunity to tackle exciting AI and ML challenges on a global scale. We are actively seeking passionate AI Engineers with hands-on expertise across a range of domains, including real-time computer vision, statistical machine learning, natural language processing, transformers, control and navigation, reinforcement learning, and large-scale distributed AI systems. Ideal candidates will possess strong skills in machine learning (ML), deep learning (DL), and real-time computer vision techniques. You will be responsible for building ML/DL models tailored to specific challenges, preparing datasets for testing, evaluating model performance, and deploying solutions in production environments. Familiarity with containerization, microservices architecture, and the ability to independently deploy ML models into production is essential. If you are a self-driven individual with a passion for cutting-edge AI, we want to hear from you. Armada offers an unparalleled opportunity to confront some of the most thrilling AI and ML challenges in the world. Join our dynamic AI Engineering team as we deliver disruptive edge-compute systems capable of autonomous learning, prediction, and adaptation using vast, real-time datasets. We are pioneers in developing high-performance computing solutions for self-driving cars, camera networks, robotics, drones, conversational agents, and real-time monitoring and diagnostic systems. Our vision is to empower AI systems to seamlessly and securely interact with the complexities and uncertainties of the real world, and our mission is to bridge the digital divide in the process.  Location. This role is office-based at our Bellevue, Washington office.  What You'll Do (Key Responsibilities) Translating business requirements into requirements for AI/ML models. Preparing data to train and evaluate AI/ML/DL models. Building AI/ML/DL models by applying state-of-the-art algorithms, especially transformers. In some cases, leverage existing algorithms from academic or industrial research. Testing, evaluating the AI/ML/DL models, benchmarking their quality, and publishing the models, data sets, and evaluations. Deploying the models in production by containerizing the models. Working with customers and internal employees to refine the quality of the models. Establishing continuous learning pipelines for models with online learning or transfer learning. Building and deploying containerized applications on the cloud or on-premise environments Required Qualifications BS or MS degree in computer science, computational. science/engineering, or related technical field (or equivalent experience). 3+ years of work-related experience in software development with good Python, Java, and/or C/C++ programming skills. Familiarity with containers, numeric libraries, modular software design. Hands-on expertise with traditional statistical machine learning techniques as well as deep-learning and natural language processing modeling. Expertise in supervised, unsupervised, and transfer learning techniques. Hands-on expertise in machine learning techniques and algorithms with a strong background in state-of-the-art DNN architectures (Transformers, CNN, R-CNN, RNN, BERT, GAN, autoencoders, etc.) and experience in developing or using major deep learning frameworks (e.g., PyTorch, Tensorflow, etc). Experience with solving and using machine learning for real-world problems. Preferred Experience and Skills Demonstrable experience in building, programming, and integrating software and hardware for autonomous or robotic systems. Proven experience producing computationally efficient software to meet real-time requirements. Background with container platforms such as Kubernetes. Strong analytical skills with a bias for action. Strong time-management and organization skills to thrive in a fast-paced, dynamic environment. Solid written and oral communications skills. Good teamwork and interpersonal skills. Compensation For U.S. Based candidates: To ensure fairness and transparency, the starting base salary range for this role for candidates in the U.S. are listed below, varying based on location experience, skills, and qualifications. In addition to base salary, this role will also be offered equity and subsidized benefits (details available upon request). Benefits Competitive base salary and equity Medical, dental, and vision (subsidized cost) Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA) Retirement plan options, including 401(k) and Roth 401(k) Unlimited paid time off (PTO) 15 paid company holidays per year #LI-AB1 #LI-Onsite   Compensation$134,400—$168,000 USD  You're a Great Fit if You're A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge  A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude  Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda  Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you    Equal Opportunity Statement At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.   Unsolicited Resumes and Candidates Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.  

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Genies is an avatar technology company powering the next era of interactive digital identity through AI companions. With the Avatar Framework and intuitive creation tools, Genies enables developers, talent, and creators to generate and deploy game-ready AI companions. The company’s technology stack supports full customization, AI-generated fashion and props, and seamless integration of user-generated content (UGC). Backed by investors including Bob Iger, Silver Lake, BOND, and NEA, Genies’ mission is to become the visual and interactive layer for the LLM-powered internet. About the opportunity We are looking for a Backend Software Engineer Intern (LLM) to join our AI Engineering Team based in San Francisco, CA or Los Angeles, CA. The team is responsible for developing the backend infrastructure powering the Genies Avatar AI framework. You will contribute to the next generation of AI 3D avatar entertainment experience, and be involved with designing, coding, and testing software according to the requirements and system plans. You will be expected to collaborate with senior engineers and other team members to develop software solutions, troubleshoot issues, and maintain the quality of our software. You will also be responsible for documenting their work for future reference and improvement. Our internship program has a minimum duration of 12 weeks. Key Responsibilities Develop and deploy LLM agent systems within our AI-powered avatar framework. Design and implement scalable and efficient backend systems to support AI applications Collaborate with AI and NLP experts to integrate LLM, and LLM-based systems and algorithms into our avatar ecosystem. Work with Docker, Kubernetes, and AWS for AI model deployment and scalability Contribute to code reviews, debugging, and testing to ensure high-quality deliverables. Minimum Qualifications Currently pursuing OR a recent graduate from a  Master's degree or Bachelor's in Computer Science, Engineering, Machine Learning, or related field. Course or internship experience related to the following areas : Operating Systems, Data Structures & Algorithms, Machine Learning Strong programming skills in Python, Java, or C++ Excellent written and verbal communication skills Basic understanding of AI/LLM concepts and enthusiasm for learning advanced techniques. Preferred Qualifications Experience in building ML /LLM powered software systems. Previous Computer Science/Software Engineering Internship experience Solid understanding of LLM agents, retrieval-augmented generation (RAG), and prompt engineering. Experience with AWS, Docker and Kubernetes Experience with  CI/CD pipelines Experience with API design, schema design Here's why you'll love working at Genies: Salary $40-$50 per hour. You'll work with a team that you’ll be able to learn from and grow with, including support for your own professional development You'll be at the helm of your own career, shaping it with your own innovative contributions to a nascent team and product with flexible hours and a hybrid(office+home) policy You'll enjoy the culture and perks of a startup, with the stability of being well funded  Flexible paid time off, sick time, and paid company holidays, in addition to paid parental leave, bereavement leave, and jury duty leave for full-time employees Health & wellness support through programs such as monthly wellness reimbursement   Choice of MacBook or windows laptop Genies is an equal opportunity employer committed to promoting an inclusive work environment free of discrimination and harassment. We value diversity, inclusion, and aim to provide a sense of belonging for everyone. 

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Who are we?Ema is building next-generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary platform enables companies to delegate the majority of repetitive tasks to Ema, the Universal AI employee. We are founded by ex-Google, Coinbase, and Okta executives, and serial entrepreneurs. We are well-funded by world-class investors and angels. Ema is based in Silicon Valley and Bangalore.Why does this role exist?Ema’s mission is to define the future of work by building an AI-native enterprise where intelligent agents handle the majority of operational execution. To achieve this, Ema must deeply understand and integrate with the vast ecosystem of tools, data sources, and platforms used across modern organizations.The AI Systems & Integrations team is responsible for expanding Ema’s capabilities across applications, MCPs, workflows, and data systems. The team ensures Ema can interact with, reason across, and take action within the environments our customers rely on every day.This role is critical to expanding the breadth and reliability of Ema’s intelligence.What is the role?We are looking for a technically fluent, high-agency AI Integrations Specialist to help scale Ema’s footprint across enterprise applications and agentic workflows. You will work hands-on with integrations, connectors, MCPs, and model evaluations that directly improve Ema’s reasoning and tool-calling accuracy.This is a rare opportunity to gain deep, practical experience with agentic AI systems, becoming one of the earliest experts in a rapidly growing field.What you’ll do day to day1. Integrations & Connector Enablementa. Integrate Ema with a growing set of enterprise applications and SaaS toolsb. Configure, test, and maintain MCP-based integrations, APIs, webhooks, and data connectorsc. Run and write scripts, write javascript code for workflows, manage Git workflows, and investigate integration issuesd. Optimize onboarding flows for new applications and ensure seamless operation in production2. Agentic AI Support & Enablementa. Ensure Ema has the right capabilities to take actions across connected systemsb. Build or modify small utilities, scripts, and transformations to bridge functionality gapsc. Partner with internal teams to design integration patterns that maximize Ema’s autonomy3. AI Evaluations & Model Feedbacka. Conduct deep evaluations on agent behavior, tool-calling accuracy, and reasoning qualityb. Analyze structured outputs, logs, and error cases to identify model weaknessesc. Work with modeling and product teams to provide high-quality feedback that improves the EmaFusion modeld. Design evaluation scenarios, test harnesses, and repeatable experiments4. Cross-Team Collaborationa. Work with Product, Engineering, and Customer teams to understand integration needsb. Help bring new customer use cases to life by expanding Ema’s system capabilitiesc. Translate customer workflows into integration requirements and actionable test plansWho We Are Looking For1-3 years of experience in an AI evaluation, integrations, testing, or similar engineering or product adjacent roleBachelors degree in an engineering discipline What would make someone successful in this role?a. High Agency: You move fast, self-manage, and take ownership of outcomesb. Technically Fluent: Comfortable with scripts, Git, API docs, CLI tools, and light debuggingc. Systems Thinker: You understand how applications, data flows, and APIs connectd. Analytical: You enjoy inspecting logs, identifying failure points, and running structured evaluationse. Builder at Heart: You love creating products using Agentic AI to solve meaningful problemsf. AI-Curious: You follow emerging AI developments and learn new tools quicklyg. Clear Communicator: You can explain both problem and solution clearly to cross-functional teams, both in verbal and written formatsBonus Pointsa. Experience building or maintaining integrations, APIs, or automation workflowsb. Exposure to MCPs, agent frameworks, or LLM-based tool callingc. Familiarity with no-code/low-code builders (Zapier, Make, n8n)d. Experience with AI-native coding tools like Cursor or Lovablee. Experience running or designing AI evaluations or red-teaming processesWhy this role is speciala. Direct impact on how Ema interacts with the worldb. Deep exposure to agentic AI and real-world model behaviorc. Rare opportunity to shape the next era of enterprise AI integrationd. A fast-learning environment with modern AI development toolingEqual OpportunityEma Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

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Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA. Figure’s vision is to deploy autonomous humanoids at a global scale. Our Helix team is looking for an experienced Training Infrastructure Engineer, to take our infrastructure to the next level. This role is focused on managing the training cluster, implementing distributed training algorithms, data loaders, and developer tools for AI researchers. The ideal candidate has experience building tools and infrastructure for a large-scale deep learning system. Responsibilities Design, deploy, and maintain Figure's training clusters Architect and maintain scalable deep learning frameworks for training on massive robot datasets Work together with AI researchers to implement training of new model architectures at a large scale Implement distributed training and parallelization strategies to reduce model development cycles Implement tooling for data processing, model experimentation, and continuous integration Requirements Strong software engineering fundamentals Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field Experience with Python and PyTorch Experience managing HPC clusters for deep neural network training Minimum of 4 years of professional, full-time experience building reliable backend systems Bonus Qualifications Experience managing cloud infrastructure (AWS, Azure, GCP) Experience with job scheduling / orchestration tools (SLURM, Kubernetes, LSF, etc.) Experience with configuration management tools (Ansible, Terraform, Puppet, Chef, etc.) The US base salary range for this full-time position is between $150,000 - $350,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!As an Applied AI Engineer, you’ll research and utilize established and state-of-the-art Gen AI and machine learning (ML) techniques to successfully deliver solutions to our customers. You will work directly with our customers to understand their business and technical needs and design and deliver AI solutions—either by leveraging Snorkel Flow or developing custom approaches when needed—to solve high-impact customer problems. You will also help define Snorkel’s Applied AI tooling and workflows by translating real-world customer challenges into reusable patterns, best practices, and platform-level capabilities that become part of Snorkel Flow’s next generation of AI tooling. We move fast and are constantly prototyping new ways to deliver value to our customers. This position is ideal for someone who enjoys solving complex problems, working directly with customers, and bridging the gap between AI technology and business value, while staying naturally curious about the tools, workflows, and infrastructure that underpin the AI stack end-to-end. Main Responsibilities Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform. Develop and implement state of the art AI techniques such as retrieval-augmented generation (RAG), fine-tuning, prompt engineering, AI agents, ML model training, and optimizing model performance for real-world deployment to maximize business impact. Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow. Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI. Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI. Annual travel up to 25%. Preferred Qualifications B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience. 3+ years of customer-facing experience in the design and implementation of AI/ML solutions. Proficient in Python. Expertise across the Applied AI stack, spanning classical ML libraries (e.g., scikit-learn), deep learning frameworks (e.g., PyTorch), foundation-model ecosystems (e.g., Hugging Face Transformers), vector/embedding tooling (e.g., FAISS), data processing frameworks (e.g., pandas, Spark), retrieval/RAG tooling (e.g., Chroma, Weaviate), and LLM orchestration, workflow, and agent authoring tools (e.g., LlamaIndex, LangGraph, CrewAI). Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement. Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos. Ability to work in a fast-paced environment and balance priorities across multiple projects at once. Compensation range for Tier 1 locations of San Francisco Bay Area $172K - $275K OTE. All offers also include equity in the form of employee stock options. Our compensation ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Locations Redwood City, CA - Hybrid; San Francisco, CA - Hybrid - US #LI-CG1Salary Range $172,000—$275,000 USDBe Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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ABOUT BASETENBaseten powers inference for the world's most dynamic AI companies, like OpenEvidence, Clay, Mirage, Gamma, Sourcegraph, Writer, Abridge, Bland, and Zed. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. With our recent $150M Series D funding, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction, we’re scaling our team to meet accelerating customer demand.The RoleAs an Engineering Manager (Player & Coach), you will lead and mentor a team of Forward Deployed Engineers focused on building, scaling, and optimizing LLM inference workloads for Baseten customers. Applying both hands-on technical ownership and managerial leadership, you will guide your team through the processes of designing, deploying, and managing high performance, low latency AI applications on Baseten’s platform. FDE at baseten is not a sales function – we are a mix of engineering, product, and customer architects who contribute to the core Baseten codebase, drive large portions of our feature roadmap, and execute on complicated customer engagements. You will also partner with product, infrastructure, and other customer engineering teams to ensure that large language models (LLMs) and other generative AI systems deliver best-in-class performance, reliability, and cost efficiency in production environments. EXAMPLE INITIATIVESTake a look at these blog posts written by members of our Forward Deployed Engineering team:Forward Deployed Engineering on the frontier of AIThe fastest, most accurate Whisper transcriptionDeploy production-ready model servers from Docker imagesDeploy custom ComfyUI workflows as APIsResponsibilitiesLeadership & Team ManagementLead, mentor, and grow a team of Forward Deployed Engineers, providing guidance on technical direction, project execution, and professional development. Set clear goals and ensure timely, high-quality delivery across multiple customer-facing projects involving LLM deployment and inference optimization. Collaborate with leadership to align team priorities with company and customer goals, balancing short-term delivery, widely varying customer priorities, and long-term technical initiatives. Player-coach – While much of this role will be leading the team, you will also be expected to be a key driver on strategic product initiatives and customer engagements. The best managers derive credibility from being able to be hands-on when needed. Technical OwnershipDevelop and maintain software systems and product features using one or more general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in ML projects.Drive customer impact by designing, implementing, and deploying Baseten solutions end-to-end (problem framing → evaluation → production deployment → monitoring). This involves working with customers’ engineering teams at every stage of the customer journey including: sales, implementation, and expansion.Deliver with velocity: turn vague objectives into clear specs and well-defined PoCs so we can rapidly ship well-tested services and outcomes for our customersOptimize and enhance AI/ML projects, contributing to the continuous improvement of our technical stack. This includes developing features and PRDs with other engineering and product orgs.Own products and customer projects end-to-end, functioning as both an engineer, project manager, and product manager, with a focus on user empathy, project specification, and end-to-end execution.RequirementsBachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, or related field. 4+ years of professional software engineering experience, including 1+ year in a leadership or mentorship capacity. Strong programming skills in Python, with production experience in building or optimizing ML inference systems. Proven experience with LLMs, inference optimization, or serving frameworks (e.g., vLLM, TensorRT, Triton, Hugging Face, Ray Serve). Familiarity with observability, profiling, and cost/performance tradeoffs in production ML systems. Excellent communication and collaboration skills—able to lead cross-functional efforts and drive outcomes in ambiguous, fast-paced environments. Bonus PointsExperience leading customer-facing engineering teams or working directly with enterprise partners. Deep understanding of GPU infrastructure, distributed inference, or model compression techniques.BENEFITSCompetitive compensation, including meaningful equity.100% coverage of medical, dental, and vision insurance for employee and dependentsGenerous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)Paid parental leaveCompany-facilitated 401(k)Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the TeamThe Agent Engineering team at Decagon deploys mission-critical AI agents to our customers that impact millions of users and directly drive Decagon’s growth. You will build on our industry-leading AI agent platform, collaborate directly with customers and use your own creativity to devise long-term, scalable solutions.Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.About the RoleOn the Agent Engineering team, you’ll have complete ownership and autonomy in building and shipping best-in-class AI agents, from initial implementation through continuous iteration. You’ll work directly with leaders across industries like finance, healthcare and hospitality, solving their users’ needs with reliable and intuitive AI agents.Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who dives deep into complex system challenges and builds elegant solutions that scale to millions of users.In this role, you willDesign and build AI agents that outperform human agents in managing complex customer interactions and driving customer retentionIdentify cross-customer trends that guide the evolution of Decagon’s agent building platform and research effortsExperiment with and run evaluations on the latest text and voice models, then integrate them at scale with large enterprise-grade customersYour background looks something like thisHave 5+ years of industry experience in software engineeringProficiency with Python, Typescript and asynchronous programmingA high degree of comfort digging into system failures within deep technology stacks using any tool necessaryEven betterPrior experience working with multi-modal modelsBenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation£150K – £260K + Offers Equity

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Plain is redefining customer support for the next generation of B2B companies. We’re building the fastest, most powerful platform to help companies move beyond reactive support and build true customer relationships.Some of the world’s most forward-thinking companies - like Cursor, Raycast, and Granola - trust Plain to unify all customer interactions, enable faster team collaboration, and supercharge their workflows with AI.B2B customer support is undergoing a seismic shift. AI is transforming the way companies engage with customers, shifting support from a siloed function to a company-wide effort across Slack, Discord, and any other channel you talk to customers in. The old way - slow, manual, and disconnected - no longer works.What you’ll doWe’re in a rare spot. Plain is already powering support for high-growth companies with a lightning-fast, deeply scalable platform. AI has been part of our DNA from the start. Now we’re doubling down to define how it shapes every layer of modern customer support.This is where you come in.We're looking for a customer obsessed Senior Product Engineer to help take our AI ambitions to the next level. You’ll build the Infrastructure that helps us build AI features quickly, safely and with confidence. You’ll own problems end to end, and play a key role in building a category-defining product.In this role, you will:Own and ship AI features such as our agents, assistants, insights and more - from concept to production.Design and implement backend services for AI integrations and data pipeline.Build robust APIs and abstractions for internal AI usageDrive system scalability: caching, optimization, processing patterns, etcContribute and drive the evolution of the infrastructure for AI including architecture, evaluation and iteration pipelines.Solve complex AI challenges around AI accuracy, reliability, and quality – using rigorous quantitive approaches.Advocate for our work externally – writing, speaking, and engaging with the broader AI community.This is a great fit if you…Are an experienced backend engineer who’s shipped AI products in the OpenAI & Anthropic era – especially text and data-heavy AI applications.Have hands-on experience with LLM orchestration and LLM API optimization (costs, latency, etc)Are familiar with RAG architectures and technologiesHave AI observability experience. AI isn’t just about shipping features that sound great – it’s about knowing, conclusively, if they’re making things better.Have a clear perspective on what makes a great AI product. We want to apply AI with precision, nuance, and real impact – not as a gimmick.Are product minded and customer focused in how you build software.Measure your success by user impact, not just technical elegance.Are self-driven, impact-focused, and thrive in a fast-moving, high-ownership environment.Bonus: you have experience with agent frameworks and design.This won’t be the right role if you…Have primarily academic or research ML/AI experience. This role’s looking for someone with Applied AI experience.Think AI for support is just chatbots and deflection. B2B support is complex – we want AI through the platform, not just automating conversations.Struggle with ambiguity. We’re an early-stage startup. Things change quickly, and often, knowing what to work on is as important as the work itself.Prioritize working with the latest tech for its own sake. We choose tools that make us productive – not what’s trendy. (Postgres is great.)Are looking for a management role. This is a hands-on individual contributor position.Want the perks of a big company. We offer competitive compensation for our stage, but we’re a startup – this is a different kind of opportunity.

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About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The RoleOur generative AI-powered products bring joy back to the practice of medicine. As our offerings expand, we’re looking for a Head of AI Platform to scale the infrastructure that powers them. This is a critical, high-leverage role requiring both people leadership, technical strategy, and ownership of key business outcomes. You will own the entire lifecycle of our AI Platform, ensuring its reliability, efficiency, scalability, and compliance. You’ll own a key pillar of our technical organization, driving the technical direction and organization shaping how our models are trained, served, and managed in production.What You’ll DoPeople Management: Recruit, retain, and mentor engineers and engineering managers. Provide regular feedback; create opportunities for career growth; and foster a culture of collaboration and excellence.Technical & Organizational Leadership: Act as the people and technical leader for the AI Platform team. This includes owning the staffing and execution of the team, and driving work on model serving, training compute, agent serving platform, LLM gateway, and associated orchestration layers. You will guide architectural discussions and set top-level strategic direction for the company’s AI/ML infrastructure.Project Management: Work closely with stakeholders, including product managers, engineering managers, and AI/ML teams to plan, execute, and support multiple projects simultaneously. You will be responsible for the engineering process in the team and the output of the platform.Platform Ownership: Own the design, build, and operation of the core AI platform components, including:Model serving and deployment infrastructure.Compute and vendor management (e.g. GPU allocation).MLOps pipelines and tooling.Health, quality, and performance monitoring.Training compute infrastructure.LLM gateway and orchestration layers for agent serving.Champion Quality: Set a high standard for your team including software quality; communication; collaboration; and compliance with industry and regulatory standards.What You’ll BringA strong technologist, with 10+ years of experience building high-performance distributed systems and 3+ years managing AI/ML-focused engineering teams.Comfortable giving constructive feedback on technical designs and code reviews.Skilled in building secure, compliant systems in major cloud platforms (GCP preferred, but other experience welcome).Skilled at hiring and mentorship, with a track record of helping engineers grow their skills and careers.Expertise with kubernetes, containers, model training and serving, GPU-based capacity planning, and building applications on top of LLMs.Knowledgeable about the software development lifecycle. You view processes such as Kanban and Scrum as tools in a toolbox, and you know which tools to apply in which situations.Up-to-date on industry best-practices and tools, and enjoy learning new thingsExcited about being hands-on in a fast-moving, productive, and supportive environmentWilling to pitch in wherever neededHas thrived in a fast-growing startup, knows how to operate in that environmentBonus Points If…Has owned an Evaluation Platform for AI/ML models.Has owned data engineering or core infrastructure.Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

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Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA. Figure’s vision is to deploy autonomous humanoids at a global scale. Our Helix team is looking for an experienced Training Infrastructure Engineer, to take our infrastructure to the next level. This role is focused on managing the training cluster, implementing distributed training algorithms, data loaders, and developer tools for AI researchers. The ideal candidate has experience building tools and infrastructure for a large-scale deep learning system. Responsibilities Design, deploy, and maintain Figure's training clusters Architect and maintain scalable deep learning frameworks for training on massive robot datasets Work together with AI researchers to implement training of new model architectures at a large scale Implement distributed training and parallelization strategies to reduce model development cycles Implement tooling for data processing, model experimentation, and continuous integration Requirements Strong software engineering fundamentals Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field Experience with Python and PyTorch Experience managing HPC clusters for deep neural network training Minimum of 4 years of professional, full-time experience building reliable backend systems Bonus Qualifications Experience managing cloud infrastructure (AWS, Azure, GCP) Experience with job scheduling / orchestration tools (SLURM, Kubernetes, LSF, etc.) Experience with configuration management tools (Ansible, Terraform, Puppet, Chef, etc.) The US base salary range for this full-time position is between $150,000 - $350,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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WHO WE ARE: MagicSchool is the premier generative AI platform for teachers. We're just over 2 years old, and more than 6 million teachers from all over the world have joined our platform. Join a top team at a fast growing company that is working towards real social impact. Make an account and try us out at our website and connect with our passionate community on our Wall of Love.The RoleAs a Senior Context Engineer for AI Systems, you'll architect and optimize how MagicSchool's AI agents reason, remember, and operate within complex educational workflows. You'll design context management systems that determine what information our agents see, how they maintain state across multi-turn interactions, and how they retrieve knowledge without overwhelming their attention budget—ensuring reliable, coherent AI assistance for educators.In this role you'll implement the technical foundation of how AI agents manage their "mental workspace", and ensure our agentic capabilities remain accurate and focused in classroom scenarios.What You'll DoContext System ImplementationContext Architecture & Token Optimization: Design and implement context curation systems for product features that determine what information enters each agent inference step, balancing comprehensiveness with the finite attention budget of LLMs to prevent context rot.Task-Specific Context Management: Build memory compaction mechanisms and state management patterns that allow agents to maintain coherence within specific teaching workflows (lesson planning, differentiation, assessment creation).Context Monitoring & Improvement: Implement monitoring and evaluation for retrieval precision and reasoning coherence within your features. Collaborate with staff engineers and the evaluations team on measuring attention allocation and performance.Dynamic Information RetrievalJust-in-Time Knowledge Retrieval: Build dynamic, runtime data fetching that enable agents to autonomously pull relevant curriculum content, student data, and educational resources exactly when needed, rather than pre-loading context with unnecessary information.Tooling & Integration ImplementationTool & Integration Implementation: Build token-efficient tool APIs and retrieval layers for product teams to build context-aware featuresCross-Functional CollaborationProduct Collaboration: Partner with Product to translate educational workflows into optimal context configurations, understanding which information signals matter most for different teaching scenarios.Technical Collaboration: Work with evaluations researchers, platform engineers, and others to implement memory modules, retrieval adapters, and human-in-the-loop correction systems within your team's applications.Technical LeadershipSquad Technical Leadership: In collaboration with Product and peers, shape work for the team. Coordinate with other squads on requirements, patterns, and integrated projects.Knowledge Sharing: Share context engineering insights with the team, contribute to engineering discussions on context management patterns, token budget awareness, and dynamic information curation.What we’re looking for4+ years building distributed systems. Hands-on experience with RAG systems, knowledge graphs, or semantic search platforms in production environments.Strong coding skills in Python, TypeScript/Node.js. Experience with our stack (TypeScript, Node.js, PostgreSQL, NextJS, Supabase) or similar. Proficiency with LLM APIs (OpenAI, Anthropic, etc.) and their context management patterns.Experience with Model Context Protocol (MCP), context window optimization for specific model families, or building context-aware agent frameworks.Understanding of or interest in how educational content is structured (standards, curricula, taxonomies), privacy requirements (FERPA/COPPA), and how context needs differ across teaching scenarios.Experience with agent evaluation, measuring context quality/relevance, or instrumentation for attention budget tracking.Knowledge of curriculum standards, learning progressions, or educational metadata schemas that inform context design.Why Join Us?Work on cutting-edge AI technology that directly impacts educators and students.Join a mission-driven team passionate about making education more efficient and equitable.Flexibility of working from home, while fostering a unique culture built on relationships, trust, communication, and collaboration with our team - no matter where they live.Unlimited time off to empower our employees to manage their work-life balance. We work hard for our teachers and users, and encourage our employees to rest and take the time they need.Choice of employer-paid health insurance plans so that you can take care of yourself and your family. Dental and vision are also offered at very low premiums.Every employee is offered generous stock options, vested over 4 years.Plus a 401k match & monthly wellness stipendOur Values:Educators are Magic:  Educators are the most important ingredient in the educational process - they are the magic, not the AI. Trust them, empower them, and put them at the center of leading change in service of students and families.Joy and Magic: Bring joy and magic into every learning experience - push the boundaries of what’s possible with AI.Community:  Foster community that supports one another during a time of rapid technological change. Listen to them and serve their needs.Innovation:  The education system is outdated and in need of innovation and change - AI is an opportunity to bring equity, access, and serve the individual needs of students better than we ever have before.Responsibility: Put responsibility and safety at the forefront of the technological change that AI is bringing to education.Diversity: Diversity of thought, perspectives, and backgrounds helps us serve the wide audience of educators and students around the world.Excellence:  Educators and students deserve the best - and we strive for the highest quality in everything we do.

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Warp: We're Building the Platform for Agentic Development Warp began with the vision of reimagining one of the fundamental dev tools—the terminal—to make it more usable and powerful for all developers. As AI has advanced, Warp has evolved beyond its terminal roots into the platform for Agentic Development: a workbench for dispatching agents to code, deploy, and debug production software. With over 700k active developers and revenue that has grown over 20x this year so far, Warp is now one of the fastest growing startups in the exploding AI development space. We believe that soon developers will be “tech leads” for groups of agents; rather than opening a code editor to write code or a terminal to write commands, they will open Warp and prompt their computer to build features, fix bugs, and diagnose production issues. With its starting point as a reimagined command line, Warp is well-positioned to support agent-first workflows: It sits at the lowest level in the dev stack, has access to all of a developer’s context, and is set up for multitasking and long-running processes. In addition, Warp has state-of-the-art code editing features and built-in team knowledge sharing. It’s the right interface for the agentic future. Our mission has remained the same even as AI has advanced: to empower developers to ship better software more quickly, freeing them to focus on the creative and rewarding aspects of their work. For more information on our team and culture, we highly recommend reading our How We Work.Why this role? Warp is fundamentally changing how developers interact with technology, moving from coding "by hand" to working "by prompt." We're hiring an Applied AI Engineer to accelerate this transformation.  You’ll be instrumental in developing innovative predictive AI features leveraging our unique user-generated content and team data. This applied AI Engineer role emphasizes product development and implementation, distinguishing it from a purely research-oriented position. You will be directly reporting to John Rector, our Head of Engineering. Your work will supercharge our natural language understanding, enhance predictive accuracy for commands, and build personalized, specialized AI agents. By continuously refining our AI-driven suggestions and agent interactions, you'll empower hundreds of thousands of developers globally to ship better software faster, significantly impacting Warp's core product. As our first Applied AI Engineer, you will… Design, build, and deploy predictive AI features, including natural language detection, autosuggestions, and intelligent prompt recommendations. Leverage Warp’s extensive user-generated content and team data to continuously refine AI prediction and personalization. Drive substantial improvements in code generation quality, including code completions, diff applications, and SWEbench performance. Implement and iterate specialized agents tailored for specific developer workflows and use cases. Optimize AI models through fine-tuning, advanced prompt engineering, and robust, data-driven feedback loops. Improve context retrieval systems, enabling Warp agents to retain and utilize memory effectively. Collaborate closely with product and engineering teams, rapidly shipping iterative improvements into production. Continuously elevate the user experience by refining interactions between developers and Warp AI. You may be a good fit if… You have at least 5 years of experience applying AI/ML research to build and ship user-facing, production-grade products.  You possess a strong software engineering background You have experience in fine-tuning and deploying large language models and predictive systems. You're adept at prompt engineering and able to craft and iterate on prompts to optimize AI outputs and agent performance. You’re comfortable building scalable data-driven feedback loops to measure and improve model accuracy and user satisfaction. You thrive in a fast-paced environment, prioritizing shipping high-quality improvements over pure theoretical research. Bonus points if you’ve previously built or significantly enhanced developer-facing AI products, particularly those involving command-line or coding assistance. At Warp, we are dedicated to building a diverse, inclusive, and authentic workplace. If you’re excited about this role but your past experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! Most of us are learning new skills for the first time (like our engineers learning to program Warp in Rust). You might be just the right candidate for this or other roles. Feeling playful? Try our optional hiring challenge and submit your answers with your application: Warp Hiring Challenge Salary Transparency Total compensation at Warp consists of two parts: 1) a competitive base salary, and 2) meaningful equity. When we find the right person, we try to put our best foot forward with an offer that excites you. The budgeted compensation range for this role is targeted at $220,000 – $275,000. Final total compensation depends on experience and expertise. In addition to salary, all employees receive further compensation in the form of equity in the company. This is a meaningful stock option grant with a four-year vesting period and one-year cliff. Your equity is where most of the significant upside potential is. Comparing startup equity is always a bit tricky, so we’re happy to walk you through different valuation scenarios at the offer stage in order to help paint a clearer picture of the upside. Final total compensation is determined by multiple factors including your experience and expertise and may vary from the amounts listed above. What We Offer Competitive Salary & Meaningful Equity – we will stretch to get the right talent on board Full Medical, Dental, and Vision Benefits for employees (80% coverage for dependents) Flexible remote-first culture, with optional office spaces in NYC and SF for folks who want to work together IRL  Pre-tax FSA Health Savings Plan Pre-tax Commuter Benefit 20-days of Paid Time Off Unlimited Sick Time Off 12 US Holidays 16 weeks of paid Parental Leave for both birthing and non-birthing parents Twice-a-year company retreats Monthly gym and internet stipend Guideline 401(k) Complimentary OneMedical membership Individuals seeking employment at Warp are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.About Warp We are a company run by product-first builders, building a core product for all developers. We are committed to understanding our users deeply. We will ultimately build the best product and business if that team includes developers and designers from a wide range of backgrounds. The early team comes from Google, Dropbox, Gem, LinkedIn, and Facebook. We are looking for passionate individuals to join us and help bring Warp to the world. We value honesty, humility, and pragmatism, and our core product principle is focusing on the user. If you’re interested in learning more about our company values and the culture of our engineering team, please take a look at our internal 'How We Work' guide. We’re very fortunate to be backed by a great group of venture capital firms. In August 2023, we announced a $50M Series B funding round ($73M total raised), led by Sequoia Capital. Our other investors include Google Ventures, Neo, and Box Group. We are also backed by a network of passionate angels, including Dylan Field (Co-Founder and CEO, Figma), Elad Gil (early investor in Airbnb, Pinterest, Stripe, and Square), Jeff Weiner (Executive Chairman and Ex-CEO, LinkedIn), Marc Benioff (Founder and CEO, Salesforce), and Sam Altman (Co-Founder & CEO, OpenAI). The Product Here's our latest demo showing some of our current features…

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Who are Heidi?Heidi is building an AI Care Partner that supports clinicians every step of the way, from documentation to delivery of care.We exist to double healthcare’s capacity while keeping care deeply human. In 18 months, Heidi has returned more than 18 million hours to clinicians and supported over 73 million patient visits. Today, more than two million patient visits each week are powered by Heidi across 116 countries and over 110 languages.Founded by clinicians, Heidi brings together clinicians, engineers, designers, scientists, creatives, and mathematicians, working with a shared purpose: to strengthen the human connection at the heart of healthcare.Backed by nearly $100 million in total funding, Heidi is expanding across the USA, UK, Canada, and Europe, partnering with major health systems including the NHS, Beth Israel Lahey Health, MaineGeneral, and Monash Health, among others.We move quickly where it matters and stay grounded in what’s proven, shaping healthcare’s next era. Ready for the challenge?The RoleWe’re looking for a qualified doctor or clinician with AI/ML expertise to join our Medical Knowledge (MK) team as a Medical AI Specialist. You’ll bring your clinical expertise as well as technical expertise in software, AI, and machine learning into a fast-paced, hyper-growth startup environment. In this role you’ll:Help shape our AI products by infusing medical insights with deep technical knowledgeCollaborate across teams to turn clinician needs into reliable, high-impact AI featuresWhat you’ll do:Own the clinical integrity of Heidi: advise clinicians, troubleshoot edge cases, and validate outputsPartner with product, engineering and design teams to engineer prompts, build agentic AI, create model evaluation frameworks, and fine-tune models.Build cutting-edge AI features within Heidi using the latest tools and frameworksPlan and collaborate on research studies that prove our AI scribe’s clinical accuracy and user impactAdvise leadership on clinical quality and product roadmap prioritiesMentor colleagues and help build a culture of clinical excellence and collaborationWhat we will look for:Clinician with AI product experience Previous hands-on experience building scalable AI products or features for healthcare settingsLLM & foundation-model expertise Deep experience with large language models and provider APIs (OpenAI, Claude, Gemini), building LLM-powered healthcare products and featuresPrompt engineering & safety Proven track record crafting, iterating, and testing prompts; mitigating bias and hallucinations; embedding clinical safety guardrailsCross-functional collaboration Translate clinical needs into technical specs, partner closely with engineering and product teams, and embed quality controls for clinician trustPerformance optimization Optimise AI features for accuracy, latency, scalability, and cost (“fast, safe, cheap”)RAG pipelines & evaluation Build and maintain retrieval-augmented generation pipelines and automated evaluation workflows (traditional ML metrics, LLM-as-judge, A/B tests, clinician feedback loops)AI agent design & fine-tuning Design, build, and orchestrate multi-step AI agents; fine-tune or adapt models on medical datasetsSemantic search & vector DBs Hands-on experience with embeddings, vector databases, and agent frameworks like LangChainSoftware engineering & ML fundamentals: Fundamental understanding of Python, JavaScript, SQL; experience with cloud platforms and ML frameworksWhat do we believe in?We create unconventional solutions to difficult problems and we build them fast. We want you to set impossible goals and make them happen, think landing a rocket but the medical version.You'll be surrounded by a world-class team of engineers, medicos and designers to do your best work, inspired by our shared beliefs:We will stop at nothing to improve patient care across the world.We design user experiences for joy and ship them fast.We make decisions in a flat hierarchy that prioritises the truth over rank.We provide the resources for people to succeed and give them the freedom to do it.Why you will flourish with us 🚀?Flexible hybrid working environment, with 3 days in the office.Additional paid day off for your birthdaySpecial corporate rates at Anytime Fitness in Melbourne, Sydney tbc.A generous personal development budget of $500 per annumLearn from some of the best engineers and creatives, joining a diverse teamBecome an owner, with shares (equity) in the company, if Heidi wins, we all winThe rare chance to create a global impact as you immerse yourself in one of Australia’s leading healthtech startupsIf you have an impact quickly, the opportunity to fast track your startup career!Help us reimagine and change the face of healthcare around the world.

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Who are Heidi?Heidi is building an AI Care Partner that supports clinicians every step of the way, from documentation to delivery of care.We exist to double healthcare’s capacity while keeping care deeply human. In 18 months, Heidi has returned more than 18 million hours to clinicians and supported over 73 million patient visits. Today, more than two million patient visits each week are powered by Heidi across 116 countries and over 110 languages.Founded by clinicians, Heidi brings together clinicians, engineers, designers, scientists, creatives, and mathematicians, working with a shared purpose: to strengthen the human connection at the heart of healthcare.Backed by nearly $100 million in total funding, Heidi is expanding across the USA, UK, Canada, and Europe, partnering with major health systems including the NHS, Beth Israel Lahey Health, MaineGeneral, and Monash Health, among others.We move quickly where it matters and stay grounded in what’s proven, shaping healthcare’s next era. Ready for the challenge?The RoleYou will operate as a Staff+ AI scientist/engineer on the Orchestration team. You will own the design and delivery of a clinician‑grade retrieval and question‑answering stack across data ingestion, indexing, ranking, grounding, and safe deployment. You will set technical direction, establish quality bars, and lead cross‑functional execution with engineering, product, and clinical experts. You will move between research and production, turning prototypes into reliable services with clear SLAs, traceable outputs, and unit/acceptance metrics that matter in clinical contexts.What you’ll do:Define the end‑to‑end architecture for literature and guideline ingestion, normalization, metadata extraction, de‑duplication, and versioning. Build hybrid search and retrieval: lexical + vector + re‑ranking, with tight latency budgets and cost controls. Design grounding and answer synthesis that cite sources, preserve provenance, and expose confidence and abstention. Lead model work across prompting, fine‑tuning, distillation, and tool use to improve faithfulness, coverage, and utility. Stand up gold‑standard evaluation: offline IR metrics (nDCG, MAP, recall), factuality/faithfulness audits, and human review with adjudication. Run online experiments at scale. Define guardrails, KPIs, and ship A/Bs to measure impact on clinician workflows. Productionize services with observability, tracing, canaries, rollbacks, and incident playbooks. Set data governance for medical content: access control, PHI handling, audit logs, and retention policies. Partner with clinicians to define intents, schemas, and acceptance criteria. Convert ambiguous questions into testable specs. Coach engineers and scientists. Raise the technical bar through design docs, reviews, and reusable components.What we will look for:Staff‑level track record shipping search, NLP, or LLM systems that serve real users at scale. Mastery of Python and SQL. Strong software engineering fundamentals, testing strategy, and API/service design. Depth in modern IR/NLP: embeddings, ANN indexes, re‑rankers, retrieval‑augmented generation, and prompt/program synthesis. Experience building data pipelines: parsing PDFs/HTML, OCR when needed, metadata extraction, and content hashing/versioning. Familiarity with PyTorch, plus distributed training/inference patterns. MLOps and reliability: containers, Kubernetes, feature/model registries, experiment tracking, monitoring, and alerting. Evidence of rigorous evaluation design: offline metrics, human‑in‑the‑loop judging, power analysis for online tests. Clear thinking on safety: hallucination controls, calibration, abstention, red‑teaming, and privacy/security by design. Ability to lead cross‑functional initiatives and make crisp decisions with incomplete information.Bonus:Search relevance expertise for long‑form, citation‑heavy domains. Knowledge of biomedical ontologies and standards (e.g., SNOMED CT, UMLS, ICD, RxNorm, FHIR). Prior work with literature and guideline corpora, de‑duplication, and document lineage tracking. Experience with hybrid retrieval stacks (e.g., BM25 + ANN) and learned re‑rankers. Familiarity with clinical evaluation methods, EBM hierarchies, and annotation workflows. Strong cost‑performance tuning for LLM inference, caching, and batching in production.What do we believe in?We create unconventional solutions to difficult problems and we build them fast. We want you to set impossible goals and make them happen, think landing a rocket but the medical version.You'll be surrounded by a world-class team of engineers, medicos and designers to do your best work, inspired by our shared beliefs:We will stop at nothing to improve patient care across the world.We design user experiences for joy and ship them fast.We make decisions in a flat hierarchy that prioritizes the truth over rank.We provide the resources for people to succeed and give them the freedom to do it.Why you will flourish with us 🚀?Flexible hybrid working environment, with 3 days in the office.Additional paid day off for your birthday and wellness daysSpecial corporate rates at Anytime Fitness in Melbourne, Sydney tbc.A generous personal development budget of $500 per annumLearn from some of the best engineers and creatives, joining a diverse teamBecome an owner, with shares (equity) in the company, if Heidi wins, we all winThe rare chance to create a global impact as you immerse yourself in one of Australia’s leading healthtech startupsIf you have an impact quickly, the opportunity to fast track your startup career!Help us reimagine primary care and change the face of healthcare in Australia and then around the world.

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Meet Eloquent AIAt Eloquent AI, we’re building the next generation of AI Operators—multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision. Our technology goes far beyond chat: it sees, reads, clicks, types, and makes decisions—transforming how work gets done in regulated, high-stakes environments.We’re already powering some of the world’s leading financial institutions and insurers, fundamentally changing how millions of people manage their finances every day. From automating compliance reviews to handling customer operations, our Operators are quietly replacing repetitive, manual tasks with intelligent, end-to-end execution.Headquartered in San Francisco with a global footprint, Eloquent AI is a fast-growing company backed by top-tier investors. Join us to work alongside world-class talent in AI, engineering, and product as we redefine the future of financial services.As an AI Engineer at Eloquent AI, you will be at the forefront of building and scaling AI-powered applications, transforming how enterprises interact with intelligent agents. You’ll work across the entire stack, developing high-performance front-end experiences and scalable back-end systems that power real-time AI-driven workflows.This role requires strong software engineering skills, a deep understanding of full-stack development, and the ability to work in a fast-paced, AI-first environment. You’ll collaborate with engineers, AI researchers, and product teams to build enterprise-grade solutions that enable seamless AI-human interactions.You will:Design and build full-stack applications that power AI-driven workflows for enterprise users.Develop high-performance front-end interfaces for AI agent control, monitoring, and visualization.Build scalable backend services that support real-time AI interactions, knowledge retrieval, and automation.Optimize AI-powered UIs to ensure seamless and intuitive user experiences.Work closely with AI researchers and ML engineers to integrate LLMs, Retrieval-Augmented Generation (RAG), and automation into production-ready applications.Ship robust, minimal-dependency code that performs efficiently in enterprise environments.Continuously iterate and refine AI-driven products, balancing user needs with technical feasibility.Requirements2-5 years of hands-on experience building full-stack production applications.Proficiency in modern web technologies, including React, TypeScript, and Node.js.Experience with backend development using Python, Go, or similar languages.Strong knowledge of cloud infrastructure (AWS, GCP, or Azure) and scalable architectures.Understanding of AI-powered applications, including LLMs, chat interfaces, and agentic workflows.Ability to work in a fast-paced, high-autonomy environment, solving complex problems and delivering impact.Strong collaboration skills, with experience working in cross-functional teams with engineers, designers, and AI researchers.Bonus Points If…You have experience building AI-powered applications with LLM integrations.You’ve worked in high-performance startups or enterprise AI environments.You have a sharp eye for UI/UX design and have built intuitive, AI-driven interfaces.You have experience with GraphQL, WebSockets, or real-time data streaming.You’ve contributed to open-source projects or have built developer tools for AI.