AI Software Engineer Jobs

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About LangChain:At LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast.Our open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences.LangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more.About the role:LangChain is hiring a Senior Fullstack Engineer to build the foundational product features and integrations that power user acquisition, rapid experimentation, and self-serve expansion. This is a high-impact 0→1 role on a newly formed team responsible for building growth systems from the ground up. You’ll work closely with product, design, GTM, and analytics to streamline activation, optimize packaging, and deliver a seamless growth story for developers and enterprise customers alike. This role will be in person 5 days/week in New York City, San Francisco, or Boston.What you will do:Work across our stack (React, TypeScript, Python, Go) to deliver full-stack product features that drive growth and retentionBuild flexible experimentation systems and processes capable of targeting diverse growth metricsParticipate in data-driven, rapid growth experiments across the user funnel from onboarding to monetizationDesign and ship new onboarding features and improvements that accelerate time to valueBuild growth levers including usage-based guardrails, smart upgrade triggers, and contextual CTAsCollaborate closely with product, design, GTM, and analytics teams to identify, prioritize, and execute high-impact growth opportunitiesHow to be successful in this role:Extensive fullstack software development experience using React, TypeScript, and Go and/or PythonStrong product intuition and a track record of working on monetization, pricing, or activation featuresFamiliarity with usage metering, subscriptions, and internal tooling for pricing experimentsComfortable working with REST APIs, Postgres, Redis, and modern backend infraStartup DNA with the ability to thrive in fast-paced, zero-to-one environmentsSelf-directed with an ownership mindsetBonus: Experience building for developers or product-led growth platformsBonus: Familiarity with LLMs, GenAI applications, or agentic frameworks

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About Anyscale: At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role:We are looking for a Test Automation Software Engineer to join our Platform Infrastructure team. You’ll play a key role in ensuring the quality, reliability, and scalability of Anyscale’s distributed systems and developer platform.In this role, you will design and build automated testing frameworks, integration systems, and test pipelines that validate the performance and resilience of our platform — from control plane orchestration to the execution of distributed AI workloads on Ray.You will collaborate closely with infrastructure, cloud platform, and Ray open-source teams to ensure our systems meet the high reliability standards required for production-grade AI workloads.What You’ll DoDesign and develop automated test frameworks for large-scale, distributed systems Build end-to-end, performance, and integration tests for control and data plane components Implement test pipelines to improve release velocity and reliability Develop tools for cluster-level simulation, fault injection, and stress testing of Ray workloads Collaborate with product and infrastructure engineers to ensure new features meet quality and scalability goals Drive improvements in test coverage, observability, and reliability metrics Support and optimize automated testing in Kubernetes, AWS, GCP, and Azure environments Contribute to open-source Ray testing infrastructure and internal infinite laptop product quality Participate in design and architecture discussions, code reviews, and system debuggingWe’d Love to Hear From You If You HaveBachelor’s degree in Computer Science, Engineering, or equivalent practical experience 3+ years of experience in software test automation or infrastructure engineering Strong coding skills in Python (Go experience a plus) Experience building test frameworks or automation for distributed systems, microservices, or cloud-native applications Familiarity with Kubernetes, Docker, and CI/CD systems (GitHub Actions, Jenkins, Buildkite, or similar) Proficiency with cloud platforms (AWS, GCP, or Azure) Knowledge of observability tools such as Prometheus, Grafana, or OpenTelemetry Understanding of networking, security, and system reliability concepts A passion for improving developer experience, product stability, and system performance Why You’ll Love Working at AnyscaleCollaborate with top engineers in distributed systems and AI infrastructure Work on technology used by leading AI companies around the world Meaningful impact on both open-source and enterprise-grade systems Competitive compensation, equity, and benefits packageAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

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About BrighthireBrightHire is a category-creating, Series B software company with a mission to give everyone the hiring experience they deserve.We deliver on this mission by transforming the way many of the world’s leading companies build exceptional teams. We created the Interview Intelligence category, and our clients include some of the world’s most innovative companies—from Canva and Zapier to Rippling—as well as members of the Fortune 100.About The RoleYou will own the end-to-end delivery of many of our biggest AI features. Working in lockstep with Product and Design, you’ll move quickly to design, build, and refine features throughout the entire stack from prompt engineering and evals through the backend, all the way to frontend interactions. You’ll focus on the output quality of your AI features and make sure users get accurate, on-brand AI outputs fast. You’ll work on real features people use every day—things like:Automatic interview coaching that provides tailored feedback and guidance based on an interviewer's recent interviews, with customizable content.An AI Candidate skills matrix that displays structured summaries mapped to key skills aligned with the job description.An AI assistant that allows users to instantly query any detail about a candidate or interview using natural language.Customizable interview summaries that enable customers to create fully personalized AI-generated summaries using their own structure and criteria.…and moreWhat You'll BringYou have real world experience building generative AI applications end to end, building prompt chains, eval harnesses, vector search, and more.You know how to make LLMs useful in a product. You understand what they are good at and bad at, and you are able to harness their strengths.You have plenty of experience building across the stack in Python and Javascript/Typescript, especially building out the backend logic, data models, and architecture.You think deeply about how AI features work for end users and can make decisions with user empathy.You’ve worked with both structured (SQL) and unstructured data (raw text) and know how to transform them and utilize them together.You care about personality, tone, accuracy, safety, and speed as integral to the AI features you build.You have product instincts and work well with design.You move fast and independently, but you know when to pair and when to pull others in.About Our TeamYou’ll have the opportunity to work on high-impact projects in small, autonomous squads, with the flexibility to lead initiatives or focus as an individual contributor depending on your goals and interests.Our developer experience is thoughtfully designed, with fast CI (< 10 minutes), 1-click deploys, strong observability, and a clean codebase that enables you to move quickly and confidently.Our culture supports sustainable, focused work with fully remote roles, regular working hours, no-meeting Wednesdays, and flexible time off to recharge when needed.Our team is composed of smart, collaborative, and genuinely kind people, creating an environment where you can learn, grow, and do your best work.We offer perks that support productivity and growth, including a work from home stipend, snacks delivered to your door, and stipends for vacations and learning opportunities.More About UsRemote flexibility: Our team is fully remote, spanning across North and South American time zones. We crossover our hours for a core chunk of the day but provide everyone flexibility in how and when they get work done.Impactful work: Play a critical role in delivering on our mission to give everyone the hiring experience they deserve.Learning opportunities: Engage with a wide range of technologies and challenges, offering continuous learning and professional growth.Collaborative environment: We’re always working together to brainstorm ideas about product, strategy, etc.Use your own product: We use our product daily in our own hiring, which is rewarding and gives us product empathy!Customer Connection: We try to make sure everyone stays connected to users and clients, joining sales and client meetings, talking to end users, etc.Autonomy: Everyone is self-motivated, autonomous, and seeks ways we can continuously improve as a companyFun: We’re generous, self-deprecating, look for reasons to laugh, and enjoy sharing our ideas for band names, posting photos from our walks, and reminiscing about previous travels.BenefitsThis is a full-time contractor role for long-term employment15 days PTO12 national holidaysHealthcare stipendWork-from-home, learning, and vacation stipendsCompany provided computerThe Selection ProcessSilver.dev Recruiter ScreenSilver.dev Live Coding ScreenHiring Manager InterviewDeep Dive Work Experience ScreenSystem Design ScreenExecutive Interview w/CTO

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Federal Partners Account Executive at Anthropic, you'll drive revenue by selling our safe, frontier AI solutions directly to Systems Integrators (SI) and Independent Software Vendors (ISV) in the public sector space. You'll focus on enabling these organizations to leverage Anthropic's AI capabilities within their own solutions and service offerings. Working closely with GTM, product, and marketing teams, you'll help these partners understand and implement our technology while driving significant revenue growth. Responsibilities: Win new business and drive revenue for Anthropic working with Systems Integrators and ISVs in the public sector space, owning the full sales cycle from prospecting through close Identify and secure strategic deals with SIs who hold prime contracts with government agencies Navigate complex technical sales conversations with partners' engineering and product teams Work with partners' technical teams to ensure successful implementation of Anthropic's AI capabilities into their solutions Coordinate with cloud providers (AWS, GCP) to align technical and commercial aspects of deals Build deep relationships with key decision makers within partner organizations Provide market intelligence and partner feedback to product teams to influence our roadmap and feature development Create and maintain sales playbooks specific to SI and ISV sales motions Track and forecast sales pipeline specific to the partner segment You may be a good fit if you have: 7+ years of enterprise sales experience selling to Systems Integrators and ISVs Security clearances preferred A strong track record of closing complex technical sales to partner organizations A deep understanding of how SIs and ISVs integrate and implement new technologies into their solutions Experience navigating technical requirements and security standards specific to public sector implementations A proven ability to exceed revenue targets in partner-focused sales roles Strong technical acumen and the ability to engage with partners' engineering teams Experience coordinating with cloud providers in complex deal scenarios Excellent communication skills and ability to present to both technical and business audiences Strategic thinking combined with hands-on sales execution capabilities An understanding of public sector procurement processes and how partners operate within them A passion for safe and ethical AI development, with the ability to articulate its technical value to partner organizations Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$280,000—$410,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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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 based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build. We are seeking a Hands Integration Engineer on the Actuation/Hand Integration team to integrate the dexterous hand subsystem into the full humanoid robot. This role will work closely with mechanical, electrical, controls and software teams to deliver robust, high‑performance hand solutions and ensure that every robot hand is ready for deployment. Key Responsibilities: Integrate multi‑DOF robotic hands with the humanoid control stack. Plan and execute behaviors to validate motion, sensing and control at the system level Own calibration strategies and end‑of‑line bring-up. Create and implement design‑validation and production‑scale test plans for hand subsystems, document results and ensure that each hand meets quality and reliability standards Incorporate sensor and feedback systems. Integrate position, torque and tactile sensors into real‑time control; Develop real-time diagnostic algorithms to enable fall-back strategies. Debug and analyze performance. Perform hands‑on debugging of mechanical, electrical and software integration issues; use diagnostic tools to identify root causes and drive corrective actions Tune controllers and characterize performance. Collaborate with controls engineers to synthesize and tune high‑bandwidth controllers for hand actuators; conduct system identification and data analysis to characterize actuation performance Collaborate across disciplines. Work with design, firmware, software and AI teams to integrate algorithms, embedded systems and behaviors. Design Validation Test Plans: Specify test plans for validation. Bring up prototypes and first articles Develop automation and tooling. Build scripts, dashboards and automated test rigs to streamline repetitive testing, data collection and diagnostics Requirements: 5+ years of hands‑on experience working on robotic or electromechanical systems with a focus on actuation, manipulation or integration;  Proficiency in C++ and Python for embedded development and diagnostics Proven experience integrating sensors, and control tuning of motion systems  Strong understanding of mechanics, kinematics, controls, dynamics and sensor technologies Familiarity with Linux‑based development environments Skilled with lab equipment for validation and software debugging. Resilient and effective in fast-paced, challenging environments. Bachelor’s or Master’s degree in Mechanical Engineering, Electrical/Controls Engineering, Robotics or a related field Bonus Qualifications: Prior work on robotic hands actuation systems or multi DOF systems. Working knowledge of communication buses and protocols like Ethernet, Ethercat, Serial, SPI and I2C. Proficiency with Matlab/Simulink Expertise in CAD to collaborate with design teams The US base salary range for this full-time position is between $150,000 and $250,000 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 Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role As a Federal DOD/IC Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI across DOD/IC agencies. You'll leverage your deep understanding of DOD/IC operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the DOD/IC market while maintaining the highest standards of security and compliance. Responsibilities: Drive new business and revenue growth specifically within DOD/IC agencies, owning the full sales cycle from initial outreach through deployment Navigate the unique requirements of DOD/IC procurement, including DFAR compliance, ITAR/EAR regulations, security clearance requirements, and agency-specific security protocols Build and maintain relationships with key decision-makers across DOD/IC agencies, becoming a trusted advisor on AI capabilities and implementation in classified and unclassified environments Develop and execute strategic account plans that align with mission requirements, operational needs, and modernization initiatives Coordinate closely with cleared cloud service providers and cleared system integrators to ensure successful deployment and integration Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet DOD/IC requirements, including classification levels and air-gapped environments Create and maintain sales playbooks specific to DOD/IC use cases, procurement processes, and security requirements Take a leadership role in growing our DOD/IC presence while maintaining hands-on engagement with key accounts Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements with proper security protocols You may be a good fit if you have: 7+ years of enterprise sales experience in the DOD/IC space, with a proven track record of driving adoption of emerging technologies Deep understanding of DOD/IC agency missions, operational challenges, and technology needs across classification levels Active security clearance (TS/SCI preferred) with ability to discuss capabilities in classified environments Demonstrated ability to balance strategic leadership with hands-on sales execution in high-security environments Experience navigating complex DOD/IC procurement processes, including knowledge of SEWP, CIO-SP3, GSA, and other relevant contracting vehicles Strong track record of exceeding revenue targets in the DOD/IC space Extensive experience with DOD/IC contracting vehicles, procurement mechanisms, and security compliance requirements Excellent relationship-building skills across all levels, from technical teams to senior agency leadership, including military and civilian leadership Proven ability to coordinate across multiple stakeholders, including cleared cloud providers, cleared system integrators, and security personnel Strategic thinking combined with attention to detail in execution, particularly regarding security protocols A passion for safe and ethical AI development, with the ability to articulate its importance in national security contexts Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$280,000—$410,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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Why Delphi? At Delphi, we are redefining how knowledge is shared by creating a new medium for human communication: interactive digital minds that people can talk to, learn from, and be guided by.The internet gave us static profiles and endless feeds. Delphi is something different: a living, interactive layer of identity. It carries your voice, perspective, and judgment into every conversation—so people don’t just read about you, they experience how you think.Our mission is bold:Make human wisdom abundant, personalized, and discoverable.Preserve legacies, unlock opportunities, and scale brilliance across generations.Delphi becomes everyone's living profile to show what you know.We are trusted and loved by thousands of the world’s most brilliant minds from Simon Sinek to Arnold Schwarzenegger (interact with all of them here). We have tripled revenue, users, and Delphi interactions in the past 6 months - all organically through word of mouth. We plan to accelerate even further from here.Delphi’s investors include Sequoia Capital, Founders Fund, Abstract Ventures, Michael Ovitz, Gokul Rajaram, Olivia Wilde, and dozens of founders from Lyft, Zoom, Doordash, and many more. Our team includes founders with successful exits and builders from Apple, Spotify, Substack and more.Learn more about Delphi and this position by calling the CEO’s digital mind here!Who You AreCode-first builder with exceptional design taste - You're a front-end engineer who happens to have a great eye for design. You can debate the merits of Server Components vs Client Components as easily as you can critique visual hierarchy.Master of the modern web stack - React, Next.js, TypeScript, and Tailwind aren't just tools you use—they're tools you've mastered. You know the performance implications of your choices and write code that's both beautiful and fast.Obsessive about craft and details - You notice when animations feel off by 50ms, when a loading state causes layout shift, or when a color doesn't meet WCAG standards. You fix these things without being asked.Full-stack front-end engineer - Comfortable working across the entire front-end stack, from API integration and state management to responsive layouts and micro-interactions. Bonus if you can jump into Python backends when needed.Owner, not executor - You prototype quickly, gather feedback, iterate fast, and ship confidently. You take features from zero to production and own the outcomes.Product-minded engineer - You push back on designs that don't serve users, suggest improvements to the product direction, and think deeply about user flows. You build with empathy and intention.Comfortable in ambiguity - You thrive when the problem space is undefined. You're energized by questions like "how should people discover Delphi's?" rather than paralyzed by them.What You'll DoBuild the core interfaces of Delphi Studio - Own and ship the primary user-facing features: creation flows, customization tools, and interaction patterns. You'll write the React components, build the APIs integrations, and polish every detail.Create a discovery platform for digital minds - Design and implement the browsing experience, search functionality, filtering systems, and recommendation interfaces. Make exploring thousands of AI personas feel effortless and delightful.Architect scalable front-end systems - Build reusable component libraries, establish patterns for state management, optimize bundle sizes, and ensure the app performs beautifully at scale.Translate AI complexity into simple UX - Work directly with product and backend engineers to understand AI capabilities, then build interfaces that expose the power while hiding the complexity.Set the standard for quality - Your code will be the example others follow. Write clean TypeScript, build accessible components, implement smooth animations, and establish the bar for what "production-ready" means.Collaborate across disciplines - Partner closely with designers to refine mockups and improve interactions. Work with backend engineers to define API contracts. Sync with product to shape roadmap priorities.Why You'll Love It Here We work on hard problems. Our team is full of former founders, and entrepreneurial individuals who are taking on immense initiatives.There is extreme upside. Very competitive salary and equity in a company on a breakout trajectory.We push each other. Work from our beautiful Jackson Square office in San Francisco, surrounded by peers pushing to do their best work.BenefitsUnlimited Learning Stipend: Whether it’s books, courses, or conferences, we want to support your growth and development. The more you learn and improve your craft the more effective we will be together.Health, Dental, Vision: Comprehensive coverage to keep to take care of your health.401k covered by Human Interest.Relocation support to SF (as needed)If you’re looking for just a job, Delphi isn’t the right fit. But if you want to shape the future of human connection, scale wisdom for billions, and build something that will outlast us all - you’ll feel at home here.

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Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work.About The Role  As a Lead Machine Learning Engineer – Recommender Systems, you’ll play a central role in improving HP’s Retrieval-Augmented Generation (RAG) pipelines for private and local data. You’ll build intelligent, context-aware retrieval systems that enhance user interactions with documents, meetings, and applications—all on-device. This role blends deep ML experience with product-focused engineering.  What You Might Do  Drive the design, implementation, and scaling of recommendation and retrieval algorithms for our AI Companion app Set the technical vision for vector search and similarity matching models to identify relevant documents across structured and unstructured data Analyze user interactions and system performance to guide algorithmic improvements Partner with cross-functional leaders in ML, infrastructure, and product teams to deploy fast and efficient RAG workflows Build and maintain retrieval indexes optimized for latency and memory  Mentor and guide engineers across the team, fostering best practices in experimentation, model evaluation, and production deployment. Essential Qualifications  8+ years of software development experience with exposure to ML engineering Deep expertise in recommender systems, embeddings, and ranking models Proven experience building or scaling document search or retrieval systems Strong understanding of vector databases (e.g., FAISS, Pinecone, Qdrant) Proficient in Python and one systems language (e.g., C++, Java)  Preferred Skills  Background in LLM integration or fine-tuning for RAG workflows Industry experience at companies like Google (Search, YouTube), Meta (Feed, Ads), or Twitter (Timeline, Trends) Experience with ML pipeline tools (Airflow, Ray, TorchServe) Previous experience improving search relevance, click-through rate, or long-term engagement  Salary Range:  $175,000 - $275,000Compensation & Benefits (Full-Time Employees) The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills. At HP IQ, we offer a competitive and comprehensive benefits package, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including;  4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave (US benefits overview) Why HP IQ? HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work. Innovative Work Help shape the future of intelligent computing and workplace transformation. Autonomy and Agility Work with the speed and focus of a startup, backed by HP’s scale. Meaningful Impact Build AI-powered solutions that help people and organisations thrive. Flexible Work Environment Freedom and flexibility to do your best work. Forward-Thinking Culture We learn fast, stay future-focused, and imagine what comes next—together. Equal Opportunity Employer (EEO) Statement HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

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Our PurposeAt Fiddler, we understand the implications of AI and the impact that it has on human lives. Our company was born with the mission of building trust into AI. The rise of Generative AI and Agents has unlocked generalized intelligence but also widened the risk aperture and made it harder to ensure that AI applications are working well. Fiddler enables organizations to get ahead of these issues by helping deploy trustworthy, and transparent AI solutions. Fiddler partners with AI-first organizations to help build a long-term framework for responsible AI practices, which, in turn, builds trust with their user base. AI Engineers, Data Science, and business teams use Fiddler AI to monitor, evaluate, secure, analyze, and improve their AI solutions to drive better outcomes. Our platform enables engineering teams and business stakeholders alike to understand the "what", “why”, and "how" behind AI outcomes.  Our FoundersFiddler AI is founded by Krishna Gade (engineering leader at Facebook, Pinterest, Twitter, and Microsoft) and Amit Paka (product leader at Microsoft, Samsung, Paypal and two-time founder). We are backed by Insight Partners, Lightspeed Venture Partners, and Lux Capital. Why Join UsOur team is motivated to help build trust into AI to enable society harness the power of AI. Joining us means you get to make an impact by ensuring that AI applications at production scale across industries have operational transparency and security.  We are an early-stage startup and have a rapidly growing team of intelligent and empathetic doers, thinkers, creators, builders, and everyone in between. The AI and ML industry has a rapid pace of innovation and the learning opportunities here are monumental. This is your chance to be a trailblazer.  Fiddler is recognized as a pioneer in the field of AI Observability and has received numerous accolades, including:  2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, 2020 Forbes AI 50 most promising startups of 2020, and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our brilliant (at least we think so) team, you will help pave the way in the AI Observability space.👩🏽‍🚀 The Mission:Our Staff Backend Engineers make a real impact on the safety and ROI of large language models and agentic applications across different verticals and domains. You will work on the cutting edge of envisioning and building new types of tools and algorithms to monitor, explain, and improve such applications and in turn empower our customers.🪐 About The Team:Our engineering team is a dynamic group of builders and thinkers dedicated to solving some of the most cutting-edge challenges in AI safety and reliability. Working on exciting and an expansive range of topics, from the responsible deployment of machine learning models, large language models (LLMs), to complex agentic applications. Our projects are inherently cross-disciplinary, requiring expertise in systems engineering, product engineering, and data science to build robust, scalable solutions. We thrive in a collaborative environment where continuous learning is at the forefront, ensuring every team member stays on their toes with the latest advancements in AI. Joining our team means you'll have the opportunity to make a tangible impact on how AI evolves for the benefit of humanity. 🚀 What You’ll Do:Design and build core services and components of a world-class cloud platform to help enterprises develop, monitor and improve their full suite of AI based applications (covering predictive models, LLMs, GenAI models and agentic applications)Lead the design and implementation of distributed systems and microservices that compute, persist, and expose new ML + agentic observability metrics (e.g., response relevancy, hallucination scores) from raw trace dataDesign enterprise-grade, scalable data infrastructure, services and APIs to support enterprise scale workloads and meet compliance needs and SLAsSpearhead the development of new types of metrics and evaluation capabilities to satisfy evolving customer needs. Take part in conversations with customers around discovery and supportDefine and evolve the operational maturity (reliability, latency, SLOs, observability) of core services, establish best practices and champion improvements to internal CI/CD processes, testing frameworks, error handling, efficiency and resiliencyTeam & Culture Building: you will take an active role in building a world-class engineering team and actively participate in the talent acquisition process through interviewing, candidate evaluation and coaching 🎯 What We’re Looking For:Masters or Bachelors degree in Computer Science or related field, combined with 7+ years of industry experience, with demonstrated solid foundation in software development.Deep proficiency with Python and a strong command of essential backend technologies like Postgres, Redis, Kafka, RabbitMQ, Ray. This includes the ability to design, build, and debug complex, large-scale systems.Experience with deploying and working with ML/LLM models in production. The candidate should be comfortable with modern LLM frameworks (e.g., Langchain, HuggingFace, vLLM) and evaluation frameworks (e.g., Ragas, MLFlow) to ensure model performance and reliability.Adaptability & Ownership: proven ability to thrive in ambiguity and a fast-paced environment. We need a self-motivated initiator who can take ownership of projects with a high degree of autonomy, confidently filling in the gaps when the full picture isn't available.System Design & Optimization: A strong grasp of distributed systems and the capacity to troubleshoot production issues. A nice to have would be experience with cloud infrastructure (AWS/GCP, Kubernetes) and specialized databases (Clickhouse/Druid), indicating a deeper understanding of system architecture and performance optimization.Technical Leadership & Collaboration: Demonstrated ability to plan, execute, and deliver projects by effectively breaking down complex problems into manageable tasks, and guiding a small team of engineers. Must be adept at cross-functional collaboration across a geographically distributed team, working closely with product managers, designers, frontend developers, and data scientists to ensure alignment and successful project outcomesCoaching & Mentorship: you should be an excellent collaborator and a mentor to other team members, raising the technical bar for the entire team and regularly engage in code and design reviews.Ability to work in our Palo Alto office 3 days a week🫱🏼‍🫲🏾 Compensation: $190,000 - $300,000 + equity + benefitsThe posted range represents the expected salary range for this job requisition and does not include any other potential components of the compensation package and perks previously outlined. Ultimately, in determining pay, we'll consider your experience, leveling, location, and other job-related factors.Fiddler is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you require special accommodations in order to complete the interviews or perform job duties, please inform the recruiter at the beginning of the process.Beware of job scam fraud. Our recruiters use @fiddler.ai email addresses exclusively. In the US, we do not conduct interviews via text or instant message, or ask for sensitive personal information such as bank account or social security numbers.

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About BrighthireBrightHire is a category-creating, Series B software company with a mission to give everyone the hiring experience they deserve.We deliver on this mission by transforming the way many of the world’s leading companies build exceptional teams. We created the Interview Intelligence category, and our clients include some of the world’s most innovative companies—from Canva and Zapier to Rippling—as well as members of the Fortune 100.About The RoleYou will partner closely with our Engineers, Product, and Design to productionize early-stage AI features into high quality, performant AI features that delight users at scale. Your focus will be on quality and safety testing: devising rigorous evaluation frameworks, refining prompts and pipelines, and optimizing model choices for cost, latency, accuracy, tone, and safety. You will help build the shared AI platform that powers products such as:AI Interviewer conversation loops that adapt in real timeAI Fraud Signals that flag suspicious behavior with minimal false positivesAI Candidate skills matrices and assistants that surface instant insightsWhat You'll DoDesign and own comprehensive evaluations that measure accuracy, completeness, style, hallucination rate, bias, and safety across every release.Tune and iterate on RAG pipelines, prompt chains, conversation loops, provider selections, and fine-tunes until quality bars are met or exceeded.Build reusable data and evaluation pipelines, a shared semantic layer, and monitoring dashboards that make it easy for product teams to ship reliable AI quickly.Optimize for cost and latency, continuously benchmarking models and negotiating trade-offs between performance and spend.Implement robust data governance and lineage practices that satisfy enterprise compliance requirements and support our AI bias audit process.Document best practices and share knowledge to raise the bar for AI development across BrightHire.What You'll Bring5+ years in Data Science or ML engineering with a strong focus on ML or NLP systems.1+ year focused on Gen-AI or LLM systems.Strong Python and SQL skills.Experience creating automated evaluation suites for LLM outputs (accuracy, safety, bias, tone, style) and using results to guide iterative improvements.Knowledge of prompt engineering, RAG techniques, vector search, embeddings, fine-tuning, and model selection across multiple providers.Ability to communicate complex AI trade-offs clearly to engineers, designers, and executives alikeBias toward action, curiosity, and a passion for building high-quality user experiencesAbout Our TeamHigh-impact projects in small, autonomous squads where you can lead platform initiatives or dive deep as a specialistThoughtful developer experience with fast CI, 1-click deploys, strong observability, and clean codebasesSustainable remote culture: regular working hours, no-meeting Wednesdays, and flexible time offCollaborative, kind teammates who value learning and growthMore About UsRemote flexibility: Our team is fully remote, spanning across North and South American time zones. We crossover our hours for a core chunk of the day but provide everyone flexibility in how and when they get work done.Impactful work: Play a critical role in delivering on our mission to give everyone the hiring experience they deserve.Learning opportunities: Engage with a wide range of technologies and challenges, offering continuous learning and professional growth.Collaborative environment: We’re always working together to brainstorm ideas about product, strategy, etc.Use your own product: We use our product daily in our own hiring, which is rewarding and gives us product empathy!Customer Connection: We try to make sure everyone stays connected to users and clients, joining sales and client meetings, talking to end users, etc.Autonomy: Everyone is self-motivated, autonomous, and seeks ways we can continuously improve as a companyFun: We’re generous, self-deprecating, look for reasons to laugh, and enjoy sharing our ideas for band names, posting photos from our walks, and reminiscing about previous travels.BenefitsThis is a full-time contractor role for long-term employment15 days PTO12 national holidaysHealthcare stipendWork-from-home, learning, and vacation stipendsCompany provided computerThe Selection ProcessSilver.dev Recruiter Screen Hiring Manager InterviewDeep Dive Work Experience ScreenSystem Design ScreenExecutive Interview w/CTO

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The AI orchestration of your wildest imagination.n8n is the open AI workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact.Since our founding in 2019, we’ve grown into a diverse team of over 160 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve:Cultivated a community of more than 650,000 active developers and buildersEarned 145k+ GitHub stars, making us one of the world’s Top 40 most popular projectsBeen ranked as one of Europe’s most promising privately held SaaS startups (4th in Sifted’s 2025 B2B SaaS Rising 100)Raised $240m to date, from Sequoia’s first German seed to our recent $180m Series C - bringing us to a $2.5bn valuationAnd are grateful for our 94 eNPS score (most companies would call 70 excellent) That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register.We’re in a defining moment of an incredible journey. Come and build with us.🎯 Your main goal will be to build accurate, timely, and scalable finance and accounting operations that power n8n’s hyper-growth while strengthening financial compliance and decision-making.To do so, here are your responsibilities:Finance AutomationsAnalyze and prioritize finance processes across accounting, receivables, payables, reporting, and financial operations for automation potentialCollaborate with Finance and Operations stakeholders to gather requirements and design automation solutionsBuild, test, and maintain automations using n8n, ensuring reliability and scalabilityMonitor automation performance, troubleshoot issues, and continuously improve efficiencyExperiment with new automation tools, AI capabilities, and best practices to keep n8n’s finance stack cutting-edgeDocument automations and contribute to a playbook that supports future scale and knowledge sharingFinance OperationsSupport day-to-day operations such as supplier onboarding, invoice processing, and documentation managementContribute to monthly reporting by supporting reconciliations, preparing analyses, and assisting with ad-hoc projectsREQUIREMENTSMust-haves🎓 Educational Background: You are currently enrolled in a Bachelor’s or Master’s degree in computer science, mathematics, finance, or a related field📑 Analytical Skills: You’re confident working with data (spreadsheets, SQL, or BI tools), spotting inefficiencies, and applying structured problem-solving📝 Communication Skills: You can clearly communicate with peers and stakeholders in English🧠 Ownership & Reliability: You take initiative, manage your tasks independently, and deliver with precision and on timeNice-to-haves🧑‍💻 Programming & Automation: Basic experience with scripting (Python or JavaScript), APIs, and workflow automation tools (e.g. n8n, Zapier), ideally with AI🇩🇪 German Language Skills: Basic fluency in German is a plus✨ Tech Savvy: You’re eager to learn new tools and apply automation for efficiency🌍 Async Work Proficiency: You’re comfortable working in a remote-first, async-first environment🧩 Scaling Environment Mindset: You’re motivated by working in fast-growing, evolving environments where processes are being built from scratchWhy join us?At n8n, your work won’t disappear into a slide deck. You’ll gain hands-on experience building a scalable, tech-forward finance function during our hyper-growth phase. From day one, you’ll have ownership over impactful projects, learn how to apply automation in real-world finance, and set the stage for your future career. You’ll join a remote-first, autonomous team that values experimentation, learning, and impact.Sound like a challenge you’re excited to take on?n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.We can sponsor visas to Germany; for any other country, you need to have existing right to work.Our company language is English.You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35).Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. Benefits Competitive compensation 💸 – We offer fair and attractive pay.Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.Work/life balance 🏖️ – We work hard but ensure you have time to recharge:Europe: 30 days of vacation, plus public holidays wherever you are.US: 15 vacation days, 8 sick days, plus public holidays wherever you are.Health & wellness 🩺 –Europe: We provide benefits according to local country norms.*US: Comprehensive medical (PPO 1200), dental, and vision plans.Future planning 💰 –Europe: We provide pension contributions according to local country norms.*US: 401(k) retirement plan.Financial security 🛡️ –Europe: We provide benefits according to local country norms.*US: Short-term & long-term disability insurance, life & AD&D coverage, and additional hospital coverage.Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.AI enablement 🤖 – We believe in working smarter—everyone gets an unlimited AI budget to explore and use the best tools to boost productivity and creativity.Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.An ambitious but kind culture 😍 – People love working here—our eNPS for 2024 is 94!* Country-specific details are provided in your contract.

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Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us.  About this roleThe Super Intelligence Support Account Lead is part of Lambda’s Super Intelligence business unit, dedicated to our largest, most strategic customers operating in the most complex environments. In this role, you will serve as the key support contact for Super Intelligence accounts, acting as a dedicated resource embedded in their success. Your mission is to ensure these customers receive world-class support delivery—solving issues quickly, escalating effectively, advocating for their needs, and driving cross-functional involvement when required.You’ll collaborate closely with every layer of Support Operations, Engineering, Data Center Operations, and Sales, reporting to the Manager of Super Intelligence while working hands-on across the global account management structure. The role requires speed, responsiveness, creativity, and ownership—bringing outside-the-box solutions to critical issues and ensuring support outcomes consistently exceed expectations.What You’ll DoServe as the primary support contact for assigned Super Intelligence accounts, ensuring consistent, high-quality customer experiences.Own the overall support health of assigned accounts, proactively monitoring for risks, recurring issues, and opportunities to improve reliability.Drive resolution for escalated issues by coordinating with Support, Data Center Ops, and Engineering teams—ensuring timely communication and accountability.Lead operational reviews (QBRs/MBRs), presenting ticket trends, SLA adherence, incident summaries, and improvement actions.Develop and maintain account-level success and support plans aligned to customer priorities and workloads.Act as a mentor for frontline support engineers, guiding them through escalations and sharing best practices.Document solutions, escalations, and RCA outcomes to build scalable runbooks and strengthen internal processes.Partner with Product and Engineering teams to ensure customer pain points are visible, tracked, and resolved.Contribute to Lambda’s support operations playbooks, refining how we handle incidents, escalations, and enterprise account management.Curate and document custom scripts, solutions, or customer-requested customizations outside of Lambda’s reference architecture when required.Participate in an on-call scheduleYou5+ years in Support Account Management, Technical Account Management, or Support Engineering within cloud, enterprise IT, or infrastructure environments.Proven experience in HPC environments, showcasing your expertise in Linux cluster administration, with strong preference for Kubernetes and/or Slurm for cluster orchestrationProven ability to own escalations end-to-end, with strong skills in incident management and structured communication.Solid understanding of cloud and HPC infrastructure (GPU cloud, Kubernetes, Linux clusters, or public cloud platforms).Skilled at analyzing ticket trends, incident timelines, and support metrics, turning them into actionable improvements.Strong relationship management skills with both technical and executive-level stakeholders.Comfortable leading cross-functional collaboration, ensuring engineering and operations stay aligned on customer priorities.Experience mentoring or guiding support engineers through escalations or complex cases.Nice to HaveExperience supporting hyperscale or mission-critical customers with 24/7 availability requirements.Familiarity with enterprise ticketing and incident management systems (Zendesk, Jira, ServiceNow).Exposure to GPU/AI/HPC technologies such as CUDA, NCCL, NVLink, GPUDirect, or InfiniBand/RoCE networking.Background in documenting support processes, RCAs, or escalation frameworks.Certifications in ITIL, Linux, cloud platforms, or project management.Salary Range InformationThis is a salaried non-exempt role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. What You’ll DoDevelop and own the end-to-end strategy for public cloud utilization, driving maximum ROI, revenue efficiency, and gross margin improvement.Lead execution of utilization initiatives by aligning cross-functional stakeholders across GTM, Product, Engineering, Marketing, Partnerships, and FP&A.Diagnose and address root causes of underutilization through targeted solutions - including pricing strategies, GTM motions, sales plays, partnerships, or product enhancements.Translate utilization strategies into actionable GTM plays and customer engagement plans to accelerate adoption and optimize cloud usage.Partner with senior leadership to prioritize initiatives, secure alignment, and ensure measurable business outcomes.Serve as the primary owner and voice of public cloud utilization strategy in executive forums, shaping business direction with data-driven insights.Prepare and deliver executive-level briefings on utilization performance, pipeline alignment, and financial impact.Collaborate with C-level leadership to ensure cloud utilization strategy aligns with company growth and operational goals.Build and maintain dashboards and reporting to provide visibility into public cloud utilization, availability, and revenue impact.Partner with capacity planning, cloud operations, and FP&A to analyze revenue, cost structures, margin opportunities, and forecast accuracy.Metrics owned - % Public cloud utilization and associated revenue growth, revenue per unit of cloud capacity consumed, Net Revenue Retention (NRR) tied to cloud services, customer base performance (active, growth, churn), gross margin impact of utilization initiatives, and utilization forecast accuracy (planned vs. actual).YouHave 7+ years of experience in GTM strategy, business operations, or cross-functional leadership roles within public cloud, SaaS, or infrastructure organizations.Possess a strong ability to influence senior executives and communicate actionable insights in board-level and C-suite settings.Demonstrate a proven track record of developing strategies, securing buy-in, and leading execution with measurable outcomes.Bring strong financial and analytical acumen, with the ability to link utilization metrics directly to growth, margin, and profitability.Have cross-functional leadership experience, collaborating effectively with GTM, Product, Engineering, and Finance teams.Are comfortable driving complex, high-impact programs across multiple stakeholder groups.(Preferred) Hold an MBA or equivalent experience in cloud business strategy and operations.(Plus) Bring product or program management experience in a cloud infrastructure context.Nice to HaveExperience in the machine learning or computer hardware industrySalary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.About the team Our Government and Public Services business unit is committed to leveraging AI for the benefit of individual citizens and the public good.From our work informing strategic government decisions, to optimising our NHS, through to protecting children from harmful online content - we know that AI offers opportunities to drive improvements at every level of Government and we are proud to lead on some of the most impactful work happening in the sector.Because of the nature of the work we do with our Government clients, you may need to be eligible for UK Security Clearance (SC) and willing to work on site with these customers from time to time.About the role As a Senior Manager within our AI Safety team, you’ll lead delivery across our AI Safety portfolio, focusing on frontier model evaluations and crucial crossover work with our customers in the Government & Public Services space. This is a strategic role working alongside peers to shape the commercial delivery of our AI Safety projects in the UK You’ll serve as the primary link between clients and our dedicated data scientists to translate cutting edge AI safety research into actionable changes as well as model red teaming and safeguard testing with labs like OpenAI and Anthropic into strategic, impactful solutions.What you'll be doing: Overseeing, and providing thought leadership on, the delivery of novel and complex AI safety evaluations and red teaming projects for clients.Forming strong, trusting relationships with customers, internal safety data scientists, and technical partners, including frontier labs.Developing and executing compelling proposals to grow our AI safety and governance work across a wide range of sectors.Advising clients on AI safety strategy and technical implementation, acting as a trusted partner and consultant.Mentoring and developing team members, aligning their responsibilities with the fast-growing and important AI safety domain.Supporting wider delivery work as a Senior Manager when needed business to ensure maximum strategic flexibility and commercial impact.Who we're looking for:You bring proven experience or a passion for Applied AI safety, possibly from labs, academia, or evaluation/red teaming roles.You understand the commercial consulting delivery model, allowing you to focus immediately on account growth and project oversight.You can effectively bridge the gap between highly technical AI safety research and strategic business challenges, communicating complex ideas clearly.You are excited by the opportunity to join a globally leading team in the fast-growing and vital AI safety ecosystem.You possess the flexibility to support broader senior manager work and embrace an entrepreneurial approach to a highly visible portfolio.You thrive in ambiguous settings and demonstrate a structured approach to problem-solving and delivering high-quality, high-stakes projects.The Interview ProcessTalent Team Screen (30 minutes) Introduction to the team (60 minutes) Case Study Interview (60 minutes) Culture and Leadership Interview (60 minutes) What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.About the team Our Government and Public Services business unit is committed to leveraging AI for the benefit of individual citizens and the public good.From our work informing strategic government decisions, to optimising our NHS, through to protecting children from harmful online content - we know that AI offers opportunities to drive improvements at every level of Government and we are proud to lead on some of the most impactful work happening in the sector.Because of the nature of the work we do with our Government clients, you may need to be eligible for UK Security Clearance (SC) and willing to work on site with these customers from time to time.About the roleAs a Senior Manager within our National Security team, you’ll lead mission critical work for discerning and highly AI literate customers in the UK Government and for international partners. This is a fast paced and demanding role which, in addition to mission area context, requires programme delivery mastery and an ability to think thoughtfully and creatively about the role for AI in keeping the UK and its citizens safe.You can expect to lead portfolios of work for our customers, which range from experimental applications of emerging technologies, to products that we progress through a complete development lifecycle and deploy for users in Government.What you'll be doing:Overseeing, and providing thought leadership on, the delivery of multiple programmes of work for the National Security community, including strategy, R&D, and product builds.Forming strong, trusting relationships with Government customers, data scientists and wider networks of National Security practitioners.Developing and owning compelling proposals to grow our National Security portfolio.Advising clients on AI strategy and technical implementation, acting as a trusted partner and consultant.Mentoring and developing team members, aligning their responsibilities with the critically important National Security work for which we’re responsible.Supporting wider delivery work as a Senior Manager when needed business to ensure maximum strategic flexibility and commercial impact.Who we're looking for:You bring proven experience in National Security safety, possibly from Government, academia, or roles in industry.You have a demonstrable interest and understanding of AI and ML concepts and can think creatively about their application for a range of National Security challenges.You understand the commercial consulting delivery model, allowing you to focus immediately on account growth and project oversight.You possess the flexibility to support broader Senior Manager work and embrace an entrepreneurial approach to a highly visible portfolio.You thrive in ambiguous settings and demonstrate a structured approach to problem-solving and delivering high-quality, high-stakes proThe Interview ProcessTalent Team Screen (30 minutes) Introduction to the team (60 minutes) Case Study Interview (60 minutes) Culture and Leadership Interview (60 minutes)What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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About HappyRobotHappyRobot is the AI-native operating system for the real economy—a system that closes the circuit between intelligence and action. By combining real-time truth, specialized AI workers, and an orchestrating intelligence, we help enterprises run complex, mission-critical operations with true autonomy.Our AI OS compounds knowledge, optimizes at every level, and evolves over time. We’re starting with supply chain and industrial-scale operations, where resilience, speed, and continuous improvement matter most—freeing humans to focus on strategy, creativity, and other high-value tasks. You can learn more about our vision in our Manifesto. HappyRobot has raised $62M to date, including our most recent $44M Series B in September 2025. Our investors include Y Combinator (YC), Andreessen Horowitz (a16z), and Base10—partners who believe in our mission to redefine how enterprises operate. We’re channeling this investment into building a world-class team: people with relentless drive, sharp problem-solving skills, and the passion to push limits in a fast-paced, high-intensity environment. If this resonates, you belong at HappyRobot.About the RoleYou’ll be building AI models that make human-like conversations possible. You’ll work at the intersection of speech, language, and intelligence, taking cutting-edge research and transforming it into real-time, scalable systems that power our core products. You’ll have the unique opportunity to make a huge impact as one of our first ML hires, shaping not only the technology but also the direction of our company. From designing robust models to deploying them in production, you’ll own the entire lifecycle of ML systems and help us stay ahead of the curve in AI innovation.About the RoleDesign, build, and maintain scalable ML systems — from data ingestion and preprocessing to training, testing, and deployment.Develop and optimize end-to-end ML pipelines (data collection, labeling, training, validation, monitoring) to ensure reliability and reproducibility.Implement robust MLOps practices, including model versioning, experiment tracking, CI/CD for ML, and continuous monitoring in production.Collaborate with product and engineering teams to integrate and deploy models into real-time products with a focus on efficiency and scalability.Ensure data quality, observability, and performance across all AI systems.Stay current with the latest in AI infrastructure, tooling, and research — helping us stay ahead of the curve.Must HaveStrong experience in machine learning, deep learning, and NLP.Solid background in MLOps and data pipelines — e.g., model deployment, monitoring, and scaling in production environments.Proficiency in Python and familiarity with Go.Experience with ML lifecycle management tools (e.g., MLflow, Kubeflow, Weights & Biases).Ability to design ML systems for robustness, scalability, and automation.Strong coding, debugging, and data engineering skills.Passion for AI infrastructure and its real-world impact.Founder mindset: ownership, independence, and willingness to go deep.Nice to HaveExperience in speech recognition, TTS, or audio processing.Familiarity with LLMs, generative AI, or real-time inference systems.Hands-on experience with data orchestration frameworks (e.g., Airflow, Prefect, Dagster).Prior experience in startup environments with fast iteration cycles.Knowledge of cloud infrastructure (AWS/GCP/Azure) and containerization tools (Docker, Kubernetes).Why join us?Opportunity to work at a high-growth AI startup, backed by top investors.Rapidly growing and backed by top investors including a16z, Y Combinator, and Base10.Ownership & Autonomy - Take full ownership of projects and ship fast.Top-Tier Compensation - Competitive salary + equity in a high-growth startup.Comprehensive Benefits - Healthcare, dental, vision coverage.Work With the Best - Join a world-class team of engineers and buildersOur Operating Principles Extreme Ownership We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting — if something needs fixing, we own it and make it better. This means stepping up, even when it’s not “your job.” If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don’t wait for someone else to solve it — we lead with accountability and expect the same from those around us. Craftsmanship Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for “just fine.” We sweat the details because details compound. Whether it’s a product feature, an internal doc, or a sales call — we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build — even when nobody’s watching. We are “majos” Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. “Majo” is our way of saying: be a good human. Be approachable, helpful, and warm. We’re building something ambitious, and it’s easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego. Urgency with Focus Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We’re running a high-speed marathon — not a sprint with no strategy. Talent Density and Meritocracy Hire only people who can raise the average; ‘exceptional performance is the passing grade.’ Ability trumps seniority. We believe the best teams are built on talent density — every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players — that’s how we win. First-Principles Thinking Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don’t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It’s how we build what others think is impossible.The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through security@happyrobot.ai subject to the GDPR.For more information, visit https://www.happyrobot.ai/privacy-policyBy submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.

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About HappyRobotHappyRobot is the AI-native operating system for the real economy—a system that closes the circuit between intelligence and action. By combining real-time truth, specialized AI workers, and an orchestrating intelligence, we help enterprises run complex, mission-critical operations with true autonomy.Our AI OS compounds knowledge, optimizes at every level, and evolves over time. We’re starting with supply chain and industrial-scale operations, where resilience, speed, and continuous improvement matter most—freeing humans to focus on strategy, creativity, and other high-value tasks. You can learn more about our vision in our Manifesto. HappyRobot has raised $62M to date, including our most recent $44M Series B in September 2025. Our investors include Y Combinator (YC), Andreessen Horowitz (a16z), and Base10—partners who believe in our mission to redefine how enterprises operate. We’re channeling this investment into building a world-class team: people with relentless drive, sharp problem-solving skills, and the passion to push limits in a fast-paced, high-intensity environment. If this resonates, you belong at HappyRobot.About the RoleThis role requires both strong technical skills and the ability to communicate effectively with a range of stakeholders. You’re a versatile engineer who thrives in a role that blends customer engineering with technical development. You will work closely with our customers from onboarding through to their ongoing use of Happyrobot's AI platform, ensuring they maximize the value of our solutions.Tech ProfileComfortable Full-Stack: React, TypeScript, Node.js.Strong proficiency in Python with hands-on experience.Experience building AI/ML applications.Manage APIs and other tools for robust integration with various third-party systems.LLM prompting and tuning of voices and transcribers. Constant iteration to perfect use cases.Building new features or entire MVPs.Must haveFluency in JapanaseAbility to prioritize and manage multiple projects under tight deadlines.Excellent communication skills and the ability to explain technical concepts clearly.Founder Mindset: Hard work + independence + ownership.Why join us?Opportunity to work at a high-growth AI startup, backed by top investors.Rapidly growing and backed by top investors including a16z, Y Combinator, and Base10.Ownership & Autonomy - Take full ownership of projects and ship fast.Top-Tier Compensation - Competitive salary + equity in a high-growth startup.Work With the Best - Join a world-class team of engineers and buildersOur Operating Principles Extreme Ownership We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting — if something needs fixing, we own it and make it better. This means stepping up, even when it’s not “your job.” If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don’t wait for someone else to solve it — we lead with accountability and expect the same from those around us. Craftsmanship Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for “just fine.” We sweat the details because details compound. Whether it’s a product feature, an internal doc, or a sales call — we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build — even when nobody’s watching. We are “majos” Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. “Majo” is our way of saying: be a good human. Be approachable, helpful, and warm. We’re building something ambitious, and it’s easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego. Urgency with Focus Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We’re running a high-speed marathon — not a sprint with no strategy. Talent Density and Meritocracy Hire only people who can raise the average; ‘exceptional performance is the passing grade.’ Ability trumps seniority. We believe the best teams are built on talent density — every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players — that’s how we win. First-Principles Thinking Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don’t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It’s how we build what others think is impossible.The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through security@happyrobot.ai subject to the GDPR.For more information, visit https://www.happyrobot.ai/privacy-policyBy submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.

true

About Us Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. Why Join Us We’re looking for an AI Agent Experience Designer to design, co-build, and optimize human - AI collaboration patterns that make AI agents both practical and transformative. You’ll own the end-to-end agent experience: gathering requirements, blueprinting conversational flows, defining usability guardrails, and ensuring post-launch performance meets business outcomes. This role sits at the intersection of design, product, and AI engineering, shaping how real customers interact with Voice & Chat AI agents across industries. What you’ll be doing Strategic Planning & Discovery Lead customer workshops to uncover high-impact automation opportunities. Analyze operations and conversations to identify where VoiceAI can create the most value. Partner with customers to define success metrics and ROI targets. Translate insights into agent personas, usability guidelines, conversation samples, and error-handling strategies. Agent Experience Design & Optimization Map and document conversational journeys that reflect customer expectations and real-world use cases. Design usability-driven blueprints that surface corner cases, exception handling, and escalation paths. Configure experience requirements in collaboration with AI Agent Engineers and Engagement Managers. Use analytics, transcripts, and customer feedback to continuously refine and optimize agent experience. Customer Success & Implementation Guide customers through the experience-design lifecycle - from concept to post-launch optimization. Train customer teams on best practices for managing VoiceAI usability and conversation design. Monitor live agent performance, track outcomes, and recommend improvements. Collaborate with Product and Engineering teams to influence platform features and standards. Document reusable design frameworks and share best practices across accounts. What you'll bring to the role 3+ years of experience designing conversational systems (IVRs, chatbots, assistants) or human - AI interaction frameworks. Conversational AI Expertise: Ability to design natural, usable dialogue and flow across industries. Human Computer Interaction (HCI): Strong grounding in HCI principles, with the ability to design seamless human - AI workflows. Communication & Facilitation: Skilled at running workshops, presenting designs to executives, and aligning diverse stakeholders. Prompt Engineering Skills: Ability to write and refine effective LLM prompts, tuned for performance and consistency. Technical Awareness: Familiarity with APIs and system dependencies; able to design within technical constraints and collaborate with engineers effectively. Data-Driven Mindset: Comfort using analytics tools (e.g. Looker) to track and optimize conversational outcomes Preferred: Background in HCI, Cognitive Science, Business, or CS, prior work on enterprise AI deployments or high-impact conversational systems. Perks & Benefits Competitive compensation including equity Excellent medical, dental, and vision insurance options Flexible time off  10 Company holidays + Winter Break and up to 16-weeks of parental leave 401K plan Quarterly Lifestyle Spend Monthly Mobile + Internet Stipend Pre-tax Commuter Benefits Salary Range The base salary compensation range targeted for this full-time position is $95 - 140K per annum. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and equity (in the form of options). This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.  #LI-Remote

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About Us Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. Why Join Us We’re looking for an AI Agent Engineer to lead the charge in building and deploying enterprise-grade Voice, Chat AI agents and AI Copilot. This role is hands-on, customer-facing, and pivotal in bringing AI solutions to life - from design and integration to deployment and optimization. You’ll own the end-to-end lifecycle of AI agents: building, integrating, testing, demoing to clients, deploying into production, and tuning performance. What you’ll be doing Build & Deploy Agents: Own the full AI agent build process - prompts, workflows, integrations, telephony setup, and evaluation forms. Client Engagement: Lead weekly demos, show progress, gather feedback, and act as the primary technical point of contact once a solution is defined. Systems Integration: Configure APIs, data maps, authentication, error handling, and connect to CRMs, databases, or knowledge systems. Telephony Integration: Set up SIP/CCaaS/PSTN routing, pass metadata, configure fallbacks, and troubleshoot call quality. Optimization: Monitor performance, refine prompts, test iteratively, and ensure agents meet automation and containment targets. Strategic Partner: Translate customer requirements into actionable solutions; work consultatively to unblock challenges in security, connectivity, or knowledge ingestion. Shadow Core Engineering: Collaborate with product/engineering teams for deep technical fixes and platformization, while independently leading client delivery. What you'll bring to the role 3+ years in conversational AI, ML engineering, or system integration with hands-on delivery of AI/LLM-based solutions. Strong skills in prompt engineering, workflow building, API integration, and telephony (SIP, Twilio, Amazon Connect, etc.). Familiarity with LLMs (GPT, Claude, Gemini), vector DBs, and orchestration frameworks (LangChain, LlamaIndex, etc.). ML expertise in embeddings, retrieval-augmented generation (RAG), evaluation frameworks, fine-tuning models, and performance optimization. Solid programming skills (Python, JavaScript, or similar). Comfort leading customer-facing discussions - from deep technical troubleshooting to weekly project demos. Strong problem-solving mindset: ability to find workarounds, unblock integrations, and adapt to customer-specific ecosystems. Bachelor’s degree in Computer Science, Engineering, or a related technical field Hands-on experience with Integration Platform-as-a-Service (iPaaS) providers, such as n8n, Zapier, or similar platforms and proficient in API integrations and data flow management. Strong experience in telephony integrations, including knowledge of protocols like SIP, PSTN, and other telephony technologies. Perks & Benefits Competitive compensation including equity Excellent medical, dental, and vision insurance options Flexible time off  10 Company holidays + Winter Break and up to 16-weeks of parental leave 401K plan Quarterly Lifestyle Spend Monthly Mobile + Internet Stipend Pre-tax Commuter Benefits Salary Range The base salary compensation range targeted for this full-time position is $108 - 170K per annum. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and equity (in the form of options). This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.  #LI-Remote

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About UsAt FurtherAI, we’re building the next generation of AI agents for the insurance industry - a trillion-dollar market ready for transformation.We’ve raised more than $30M from top investors (Andreesen Horowitz, YC, Nexus, South Park Commons, Converge) and have grown 10x in revenue this year alone. Our customers include some of the largest names in insurance (we recently closed a top 5 insurance company in the world), and our team combines deep AI expertise with proven company-building experience.Now, we’re looking for an exceptional AI Engineer to join our agent team and help shape both our product.Why Join UsRocketship Growth: Post-PMF, with revenue growing at an exceptional pace.Elite Team: Team includes ex-Apple AI Research, 4 YC founders, and 6 ex-founders. Engineers have prior experience at Apple, Microsoft, Google, and Amazon.Massive Market Impact: Insurance is the backbone of global commerce - our work reshapes how this industry operates.Founder’s Mindset: Perfect fit if you want to own big pieces of the product and possibly start your own company in the future.What You’ll DoSet up end-to-end evals to measure & improve agent performance.Experiment with new agentic techniques (e.g. multi-agent systems, reasoning-from-feedback, RFT, etc)Build lightweight tools, servers, and orchestration layers (e.g. MCP servers) that enable agents to operate reliably in productionStay on top of emerging research and blogs on LLM/AI agents and bring ideas into production experiments. What We’re Looking ForAmazing ability to speak with LLMs - Occam's razor in prompting Strong experience with Python 3+ years building in ML/AI.Clear communicator - both in person and in writing.Bonus: background in B2B SaaS and 0 - 1 experienceAbove all: drive, grit, and ownership. If you excel here, other requirements are secondaryNote that this is not a model-training role - you’ll be building orchestration and reasoning systems on top of existing LLMs (think Claude-Code over Claude-Model).At FurtherAI, we set a high bar. We’re not looking for someone who just wants a job. We’re looking for someone who wants to build something transformative. If you thrive in environments where the pace is fast, expectations are high, and the rewards are outsized, you’ll love it here.