Find AI Work That Works for You

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About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure. As a Senior Developer Productivity Engineer at Together AI, you’ll own the systems and tooling that empower engineers to ship high-quality software faster. You’ll optimize workflows, enhance testing, enable reliable and reusable CI/CD, and work with developers to build out stable local environments. Your work will directly impact release velocity, developer happiness, and cross-cutting enablement ensuring engineers spend less time churning on infrastructure and more time building. Requirements Bachelor’s degree in Computer Science, Engineering, or related field or 5+ years of industry experience in DevOps/SRE, developer tooling, or infrastructure engineering. Proficiency in Python, Go, and JavaScript/TypeScript (for tooling, automation, and FE enablement). Strong experience with CI/CD tools (GitHub Actions, ArgoCD, Gitops methodology) for building scalable, reusable pipelines. Experience with local dev environment tooling (e.g., Skaffold) and containerized development workflows Experience with creating starter templates in coordination with engineering for enabling rapid spin up of new services  Strong ownership and a builder mindset, you love creating tools others rely on. Problem-solving rigor and attention to detail (e.g., diagnosing flaky tests, build latency). Nice to have Kubernetes expertise (EKS, K3s) and optimizing containerized builds. Infrastructure as Code (Terraform, Ansible, Pulumi). Front-end tooling familiarity (e.g., React, Next.js, Jest) to optimize FE dev workflows. Monitoring/observability (Prometheus, Grafana, Honeycomb) to debug bottlenecks. Responsibilities Automate CI/CD pipelines for zero-downtime deployments (e.g., Canary, Blue/Green). Create smart pipelines encouraging reusable workflows and simplicity Streamline build/test/deploy workflows. Build shared tooling (CLIs, codegen, IDE plugins) to accelerate teams. Reduce friction (e.g., faster builds, hot-reload, test tooling). Collaborate with developers to identify pain points and streamline workflows. Champion best practices through documentation.   Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $150,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy

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About Brain Co.Brain Co. is at the forefront of productionizing artificial intelligence for real-world problems, propelling advancements and shaping the future with pioneering work. Our mission is to ensure that the transformative powers and automation of AI are applied to real-world problems in various governments and industries where manual work is still dominant. We are seeking visionary full stack software engineers with a passion for AI to join us. You'll be converting groundbreaking research into real-world applications that revolutionize industries, boost human creativity, and address complex challenges. About The RoleAs an AI Product Engineer at Brain Co., you will play a pivotal role in building and deploying state-of-the-art software solutions to automate various real-world problems. You will work directly with the customer to develop the product spec and building from zero. From designing robust front-end interfaces to developing scalable back-end systems, you will turn research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.In This Role, You Will:Innovate and Deploy: Design, develop, and deploy advanced software solutions that integrate AI to tackle real-world problems, particularly in automating complex, manual processes in government and industrial sectors. Utilize modern web frameworks, microservices architecture, and cloud computing to build applications that apply AI to intricate optimization challenges.Make a Big Impact: Interact directly with key customer stakeholders to apply pioneering AI solutions while working alongside experienced ex-founders, government officials/ministers, AI researchers, and engineers. Understand complex business challenges and deliver software solutions powered by AI. Join a dynamic team where ideas are exchanged freely, and creativity flourishes. You will wear many hats: software development, product management, sales, and interpersonal skills.Optimize and Scale: Build scalable data pipelines, integrate industrial sensor networks, optimize application performance and reliability, and prepare systems for production. Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems.Learn and Lead: Stay abreast of the latest developments in software engineering and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices. Mentor junior engineers and lead by example.Make a Difference: Monitor and maintain deployed applications to ensure they continue delivering value across various governments worldwide. Work directly with customer engineers and SMEs to develop and tune applications that optimize their workflows and deliver tangible upside. Your work will directly impact how AI benefits individuals, businesses, and society at large.You will thrive if you:Minimum 4+ years of experience and an appetite for working directly with the customer to develop the software spec and build from zeroExperience with front-end and back-end technologies, microservices, and cloud platformsExperience with modern web tooling such as React, Typescript, RESTful APIs, and database management systemsPossess a strong foundation in software design principles, data structures, and algorithmsExhibit excellent problem-solving and analytical skills, with a proactive approach to challengesEnjoys working collaboratively with cross-functional teamsThrive in fast-paced environments where priorities or deadlines may compete.Eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job doneHold a Bachelor’s/Master’s degree in Computer Science, Software Engineering, or a related fieldBenefitsCompetitive salary plus equityDaily lunchesCommuter benefits401(k)Medical, Dental and VisionUnlimited PTOCompensationThe salary range for this role is $155,000 to $250,000 for this position. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range listed is just one component of Brain Co.'s total compensation package for employees. Other benefits may include stock options, an unlimited paid time off policy, and coverage on medical, vision and dental insurance.

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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. With the rise of the internet, trust in AI has been degraded by a plethora of issues like spam, fraudulent transactions, hate speech, and online abuse. Fiddler enables organizations to get ahead of these issues by building trustworthy, transparent, and explainable 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. Data Science, MLOps, and business teams use Fiddler AI to monitor, explain, analyze, and improve their AI solutions to identify performance gaps, mitigate bias, and drive better outcomes. Our platform enables engineering teams and business stakeholders alike to understand the “why” and how behind model outcomes.  Our FoundersFiddler AI is founded by Krishna Gade (engineering leadership at Facebook, Pinterest, Twitter, and Microsoft) and Amit Paka (two-time founder with acquisitions by Samsung and PayPal and product roles at Expedia and Microsoft). We are backed by Insight Partners, Lightspeed Venture Partners, and Lux Capital. Why Join UsOur team is motivated to unlock the AI opaque box and help society harness the power of AI. Joining us means you get to make an impact by helping reduce algorithmic bias and ensure that models in production across many different industries are transparent and ethical.  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.What You'll DoDesign and build a world-class cloud platform to help enterprises monitor and analyze their ML models, covering both predictive models as well as LLM and Generative models Design enterprise-grade, scalable APIs and frameworks to run analysis and validation of customers’ ML models and workflowsDevelop new types of metrics and evaluation methods for quality and robustness of ML modelsWork with product and customer facing teams to enhance and expand our productRecommend and implement engineering best practices, improve the functionality of existing software, and ensure that the design, application, and maintenance of software meets quality standardsWhat We're Looking ForMasters/Bachelor's Degree in Computer Science or equivalent10+ years of working experienceProficiency with PythonExperience debugging and troubleshooting production systemsOn call support experienceExperience working with common distributed systems infrastructure: Redis, Postgres, RabbitMQ, Celery, FlaskNice to have: Experience working with ML models in production.Experience with common LLM frameworks (Langchain, Llamaindex, RAG, HuggingFace, and eval frameworks like Ragas or Presidio)Knowledge of infrastructure management (AWS / Google Cloud, Kubernetes, or equivalent on-premises technologies)Experience building large scale distributed systems and working with columnar and vector databases

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About UsAt Harmattan AI, we are a next-generation defense prime building autonomous and scalable defense systems. Driven by rigorous engineering developments of new defense products based on recent robotics and AI developments, we are on a steep growth trajectory. If you are interested in a career in a highly technical environment, thrive on pushing boundaries, and want to achieve ambitious goals, we would love to hear from you.About the RoleAs an Electrical Engineer, your main role will be to design and develop different electronic boards for UAVs (e.g. Flight Controllers, Companion Computer, Electronic Speed Controllers)ResponsibilitiesSchematic Design: Design and develop schematics for electronic boards.Board Placement and Routing: Perform board placement and routing to meet design specifications.Physical Integration: Collaborate with the Mechanical Department to ensure seamless physical integration of the boards into the product.Sensor Integration: Work closely with the GNC (Guidance, Navigation, and Control) Department to ensure accurate and effective sensor integration.Electromagnetic Compatibility: Address and resolve EMC challenges while ensuring signal integrity.Troubleshooting: Identify and resolve issues in electrical and electronic boards through effective troubleshooting.Testing and Validation: Conduct testing, integration, and performance validation of electronic boards to meet operational and design requirements.Candidate RequirementsEducational Background: Master’s degree in Electrical Engineering or a related field.Technical Expertise: Demonstrated experience in electronics design and tools (e.g. Altium).Testing Proficiency: Proficiency in using electronic test equipment.Additional Skills: Experience with Robotics or Aerospace systems is a strong advantage.Problem-Solving: Ability to work autonomously and solve complex technical challenges.Communication & Influence: Excellent written and verbal communication, capable of leading diverse principals – from junior members to senior executives.Commitment: 100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence.We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.Senior IT Engineer Role We are seeking a highly skilled and experienced Senior IT Engineer to join our Corporate IT team. In this senior-level role, you will be responsible for driving the architecture, integration, and optimization of our core IT infrastructure — with a strong focus on identity and access management (IAM), collaboration platforms, endpoint management, and employee lifecycle automation. You’ll work with technologies such as Okta, Slack, Google Workspace, JAMF, Intune, and HRIS platforms like Workday and Rippling to build secure, scalable, and efficient systems. The ideal candidate is a proactive, systems-oriented problem-solver with deep expertise in Identity Governance and Administration (IGA), Mobile Device Management (MDM), and automation frameworks, including low-code/no-code orchestration tools and AI-enhanced workflows. Key Responsibilities Architect and manage IAM solutions using IdPs such as Okta, Ping, and JumpCloud, with a focus on IGA: user lifecycle automation, RBAC, access workflows, compliance reporting, and policy enforcement. Integrate IAM platforms with Google Workspace, Slack, HRIS systems (e.g., Workday, Rippling) and other SaaS tools to support SSO, MFA, directory sync, and role-based access provisioning. Administer and optimize collaboration platforms, especially Slack and Google Workspace, including advanced configuration, security settings, and workflow integrations. Implement and manage device compliance and security across macOS, iOS, Windows, and Android using MDM solutions like JAMF, Kandji, and Intune. Design and build automated IT workflows using scripting languages and modern orchestration tools — including low-code or AI-driven platforms that enable scalable, event-based automation and system integration across cloud services and APIs. Develop and maintain custom scripts in Python, Bash, and PowerShell to automate repetitive tasks, monitor systems, and streamline onboarding/offboarding processes. Leverage integrations with HRIS tools (Workday, Rippling) to drive lifecycle automation and ensure secure, consistent access to resources based on user roles and employment status. Maintain and support systems used by engineering teams, ensuring high availability of development tools, secure access, and streamlined workflows. Collaborate across teams (HR, Security, Engineering, Finance) to gather requirements, implement IT solutions, and align tools with business needs. Conduct regular security assessments of infrastructure and SaaS environments, and ensure compliance with internal and external standards. Mentor and support junior team members, contribute to documentation, and promote knowledge sharing and operational maturity across the IT team. Evaluate and implement new technologies, including emerging AI-driven or automation-enhancing platforms, to continuously improve efficiency, scalability, and security. Required Qualifications Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent practical experience). 7+ years of experience in IT engineering, with 3+ years in a senior or staff-level capacity. Expertise in Okta or similar identity platforms, including SSO/MFA, lifecycle automation, RBAC, and compliance integration. Experience integrating IAM with Google Workspace, Slack, and HRIS tools like Workday or Rippling. Strong experience with MDM platforms such as JAMF, Kandji, and Intune, managing multi-OS device environments. Hands-on experience building automated IT workflows, including use of scripting and modern orchestration platforms that integrate APIs and event-based triggers. Proficiency in Python, Bash, and PowerShell for scripting, automation, and diagnostics. Understanding of IT architecture across SaaS, networking, and endpoint security. Proven track record of solving complex problems in fast-paced, security-conscious environments. Strong written and verbal communication skills, with the ability to work across both technical and non-technical stakeholders. Preferred Qualifications Relevant certifications: Okta Certified Professional, JAMF Certified Expert, Google Workspace Administrator, Microsoft Intune Administrator, or equivalent. Experience with other IAM platforms (e.g., Azure AD), or collaboration tools (e.g., Microsoft Teams). Familiarity with cloud environments (AWS, Azure) and containerization technologies (Docker, Kubernetes). Exposure to low-code/no-code platforms, AI-enhanced automation, or workflow orchestration tools. Understanding of ITIL practices, or experience working in Agile operational environments. Background in high-growth or enterprise-scale organizations with a strong security and compliance culture. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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n8n is a workflow automation platform that uniquely combines AI capabilities with business process automation. We give technical teams the flexibility of code with the speed of no-code, backed by a passionate community of builders. With 500+ integrations and fair-code principles, we're revolutionizing how businesses connect their systems and processes. We were founded end of 2019 and currently: 🧑‍🤝‍🧑 We’re a diverse team of + 100 talented people 🚀 Our annual recurring revenue is growing 6x year-over-year ⭐️ With +100k GitHub stars, we are in the top 100 most popular projects of all time on Github 🍾 We’re Europe’s 25th fastest growing startup in 2024 according to Sifted 🌱 We were Sequoia's first seed investment in Germany, and most recently secured our $60M Series B (February '25, led by Highland)As a Senior AI Engineer, you'll drive intelligent features that redefine how users build automations. You'll build AI-powered capabilities, from natural language input to smart suggestions, that make creating workflows faster and more intuitive.You'll collaborate across engineering, product, and design to bring generative AI and LLM-based enhancements into the core user experience. You'll improve existing AI integrations, develop new ones, and shape how AI powers our product.You’ll work across the entire AI feature lifecycle:Architect and implement AI-powered capabilities: code generation, intelligent node creation, and workflow optimizationIntegrate LLM APIs and embedding models for text-to-workflow and natural language code suggestionsDesign and iterate on prompts to improve model output and user experienceBuild internal tooling, evaluation benchmarks, and automated testing for AI componentsCollaborate closely with other engineers to ensure AI features are reliable, performant, and scalableBalance experimentation with impact: ship quickly while focusing on user valueStay current with advances in LLMs, prompt frameworks, and developer tools - and bring those insights into our roadmapRequirementsStrong backend development skills with TypeScript, Node.js, and API design5+ years of experience building web-based products, ideally in B2B SaaS startupsProven track record shipping AI-powered features in production with LLM APIs (OpenAI, Anthropic, etc.) and understanding of how to translate machine intelligence into user valueHands-on experience with prompt engineering, embedding models, and vector storesA user-focused mindset: you care about delivering features that solve real problemsA bias for shipping and learning - fast iteration is second nature to youBonus Points ForExperience fine-tuning LLMs or working with retrieval-augmented generation (RAG) systemsFrontend experience using Vue or ReactTechnical writing or documentation contributions, especially around developer tools or AIn8n 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.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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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!About North:North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.As a Senior/Staff Backend Engineer, you will: Build and ship features for North, our AI workspace platformDevelop autonomous agents that talk to sensitive enterprise dataWrite and ship minimal code that runs in low-resource environments, and has highly stringent deployment mechanismsAs security and privacy are paramount, you will sometimes need to re-invent the wheel, and won’t be able to use the most popular libraries or toolingCollaborate with researchers to productionize state-of-the-art models and techniquesYou may be a good fit if:Have shipped (lots of) Python in productionYou have built and deployed extremely performant client-side or server-side RAG/agentic applications to millions of usersYou have strong coding abilities and are comfortable working across the stack. You’re able to read and understand, and even fix issues outside of the main code baseYou’ve worked in both large enterprises and startupsYou excel in fast-paced environments and can execute while priorities and objectives are a moving targetIf some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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About UsAt Harmattan AI, we are a next-generation defense prime building autonomous and scalable defense systems. Driven by rigorous engineering developments of new defense products based on recent robotics and AI developments, we are on a steep growth trajectory. If you are interested in a career in a highly technical environment, thrive on pushing boundaries, and want to achieve ambitious goals, we would love to hear from you.About the RoleAs a GNC Engineer on the UAV team, you’ll design and develop advanced guidance, navigation, and control (GNC) solutions. From integrating and fusing sensor data to developing control laws and flight trajectories, you'll take your work from simulation to embedded implementation and ultimately to live flight testing.ResponsibilitiesDevelop state-of-the-art navigation and sensor fusion algorithms for UAVsDesign and implement GNC and flight control systemsBuild filtering and estimation strategies for robust and efficient flight performanceRun extensive simulations (Monte Carlo, SITL, HITL) and coverage testingAnalyze test flight data and refine algorithmic performanceSupport full-stack system integration: GNSS, INS/IMU, localization, and fusionMaintain and evolve a flight-proven flight computer across multiple UAV platformsRequirementsEducation : Engineering school or master's degree in computer science, engineering, or a related technical field3+ years of experience in aerospace GNC systemsStrong foundations in control theory, estimation, and sensor integrationProficient in Python and embedded C/C++Experience with simulation tools (e.g., Gazebo) and version control (Git)Familiarity with open-source autopilots (PX4, Ardupilot, Betaflight, etc.)Hands-on electronics and integration skills: debugging, soldering, harnessingBonus: FPV pilot hobbyistWe look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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🚀 About Us We’re StackBlitz! We’re the team that brought you WebContainers, the first-of-its-kind technology that made it possible to run Node.js right inside your browser. That breakthrough kicked off our journey in 2019, and it’s what powers the blazing-fast online IDE used by over 1 million developers every month. But we didn’t stop there. We doubled down on everything we learned and built Bolt.new — the fastest way to go from idea to production without writing traditional code. It’s a next-gen, AI-powered app builder that helps you create, edit, and deploy full-stack web and mobile apps instantly, right in your browser. No installs. No setup. Just smart automation and instant dev environments that let you move at the speed of thought. We’re a fully remote team, globally distributed, deeply collaborative, and seriously passionate about building the future of software development. This is your chance to join a small team with a big vision. If you love shipping fast, solving real problems, and pushing the boundaries of what’s possible, we’d love to meet you. ✨ About This Opportunity Join us on the forefront of AI-powered development as we revolutionize how software gets built. As a Senior Applied Engineer, you will be the driving force behind our AI agents that transform natural language into production ready applications. You will work with state-of-the art LLMs, pioneering new ways to make AI understand, reason about, and generate complex full-stack applications. This isn’t just about integrating APIs, instead it’s about pushing the boundaries of what AI can do to empower our users to build stunning apps. As part of this role, you will work in an interesting problem space and tackle challenges like maintaining context across large codebases, orchestrating multi-step workflows that feel intuitive to users, and making sure our AI agents can handle everything from simple UI changes to complex architectural decisions. Your work will directly impact how millions of users bring their ideas to life. This is a unique opportunity to shape the future of AI-assisted development in a fully remote, globally distributed team that ships fast and thinks big. If you are passionate about making AI more capable, reliable, and accessible to builders everywhere, this role offers the perfect opportunity to innovate and see your work deployed at scale. 🛠️ How You'll Contribute  Develop AI Agents: Design and implement AI agent features and extend existing agents with new capabilities. This includes managing the agent’s context (using techniques like sub-agents, retrieval based context management, sliding context windows, etc.) so it can handle long conversations or large knowledge and code bases efficiently. Integrate Multiple LLM Providers: Leverage models from providers such as OpenAI (GPT series), Anthropic (Claude), and Google (Gemini). Quantitatively evaluate and choose the best model for a given task, and incorporate new model features or improvements (often by beta-testing new releases and assessing their strengths). Tool Use and Workflow Orchestration: Enable the AI agent to call external tools and APIs safely and effectively. Implement structured approaches to allow the agent to perform actions like web searches, database queries, fetch additional information, or other domain-specific operations. Utilize frameworks such as Vercel’s AI SDK, LangGraph and others for building multi-step AI workflows. Cross-Functional Collaboration: Work closely with your peer software engineers and product managers to embed AI capabilities into the product lifecycle. Ensure that AI-driven features are production-ready, meaning they are efficient, maintainable, and well-monitored in deployment. Continuous Improvement and Evaluation: Stay up-to-date with the latest research in NLP and LLMs, and experiment with novel techniques (e.g. new prompting strategies, context handling methods, model fine-tuning opportunities). Continuously evaluate the AI system’s performance using systematic tests and user feedback, and iterate on prompts, agents and workflows to improve output quality and reliability (for example, by developing automated LLM evaluation benchmarks). 💡 Qualifications TypeScript Proficiency: Strong proficiency in TypeScript is essential, as it's our primary programming language for building AI agent systems and integrations. LLM Experience: Hands-on experience working with Large Language Models (LLMs) and understanding their capabilities and limitations. Proven experience building applications or systems powered by LLMs. Prompt Engineering: Deep understanding of prompt engineering best practices to guide LLM behavior. Able to craft, refine, and optimize prompts for different tasks and models. Software Engineering Skills: Solid software engineering fundamentals with experience in building production-ready systems. Problem-Solving: Strong analytical and problem-solving skills with the ability to debug complex AI behaviors. Strong verbal and written English communication skills are required, as this role involves frequent collaboration with team members, stakeholders, and customers where English is the primary working language. 🎯 Bonus Points  DSPy Framework: Familiarity with DSPy (Declarative Self-improving Python) for building modular AI systems and optimizing prompts programmatically. Machine Learning Background: Understanding of ML fundamentals and experience with model evaluation metrics. Open Source Contributions: Experience contributing to or maintaining open-source AI/ML projects. Research Background: Experience reading and implementing techniques from AI/ML research papers. 📌 A Few Notes You do not need a college degree to apply You do not need to be located in the U.S. — we’re remote-friendly You do not need to meet every qualification listed above

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?Agentic LLM systems are being deployed widely across enterprise companies including through Cohere’s North platform. The Next Generation Agents team is exploring the horizon of modeling techniques to improve agent capabilities (e.g., deep-research, learning-from-experience, continual learning, and memory). We work in an empirical-research-driven manner to develop production solutions. Much of the work is based on improving beyond the current state-of-the-art in a setting where we know this will bring value to our customers.As a part of this team, you will help drive exploration and development of agentic techniques. You will have the opportunity to build the models that power our agentic solutions. This includes developing data-generation techniques for post-training (SFT and RL*) Cohere’s models.Please Note: We have offices in London, Toronto, San Francisco, and New York, but we also embrace being remote-friendly! There are no restrictions on where you can be located for this role.As a Member of Technical Staff for Next Generation Agents you will:Design and develop novel agentic solutionsImprove upon SOTA on hard agentic tasksResearch the next-generation of on-line learning-from-experience self-improvementWork with partner teams (Reasoning, Post-training, Pre-training, etc.) to improve performance of agentic systemWork with an amazing team of researchers and engineers pushing the boundariesYou may be a good fit if you have:Strong software engineering skillsProficiency in Python and have some experience with ML-related code (e.g., pytorch, numpy, etc.)Experience with LLMs and agentic frameworksExperience with post-training LLMs (SFT, PEFT, or RL*)Experience with building synthetic data generation pipelinesIf some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the team The Enterprise Agents Engineering Team at xAI is a team of builders solving the hardest problems in applied AI: integrating with messy systems, orchestrating complex workflows, and harnessing AI to transform business operations. We build full-stack solutions with ownership of end-to-end product execution from ideation to deployment, collaborating closely with our research team to incorporate cutting-edge AI advancements into robust and reliable user-centric solutions. Through an iterative development process, we work hand-in-hand with customers to gather feedback, refine features, and evolve products to address real-world challenges. About the role An ideal candidate meets at least the following requirements: Expert knowledge of either Rust or C++, Experience in designing, implementing, and maintaining reliable and horizontally scalable distributed systems, Knowledge of service observability and reliability best practices, Experience in operating commonly used databases such as PostgreSQL, Clickhouse, and CockroachDB Additionally, any of the below points will help a candidate stand out: Expert knowledge of Python, Experience with Docker, Kubernetes, and containerised applications, Expert knowledge of TypeScript, Expert knowledge of gRPC (unary, response streaming, bi-directional streaming, REST mapping), Hands-on experience with LLM APIs, embeddings, or RAG patterns Track record of delivering user-facing software at scale. Interview process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic technical questions. If you clear the initial phone interview, you will enter the main process, which consists of at least two technical interviews: Coding interview in Rust or C++. Distributed systems design interview. Benefits Competitive cash-based compensation xAI equity Private health and dental insurance Unlimited time off subject to prior approval Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure. As a Senior Backend Engineer, you will play a key role in building the next generation AI cloud platform – a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware (GB200s/GB300s, BlueField DPUs) and enables state-of-the-art ML practitioners with self-serve AI cloud services, such as on-demand + managed Kubernetes and Slurm clusters. This platform serves both our internal StaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world. Some of what you’ll work on: Work on a distributed GPU scheduling system for the on-demand clusters product, Instant Clusters. Build out a global management plane for managing our data center compute, networking, and storage. Design and build new customer-facing cloud platform services, delivering killer enterprise AI cloud features. Required Qualifications 5+ years of demonstrated experience in building large scale, fault tolerant, distributed systems and API microservices Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources Excellent communication skills – able to write clear design docs and work effectively with both technical and non-technical team members Demonstrated experience with building and operating high-performance and/or globally distributed microservice architectures across one or more cloud providers (AWS, Azure, GCP) Strong systems knowledge across compute, networking, and storage, including concurrency, memory management, performant I/O, and scale Experience developing against and managing a relational database, such as PostgreSQL Expert-level programmer in one or more of programming language (Golang preferred) Proficiency in version control practices and integrating IaC with CI/CD pipelines. Experience with Kubernetes and containers preferred Experience building and operating data infrastructure (Kinesis, Airflow, Kafka, etc) a plus Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience Key Responsibilities Identify, design, and develop foundational backend services that power Together’s cloud platform Analyze and improve the robustness and scalability of existing distributed systems, APIs, databases, and infrastructure Partner with product teams to understand functional requirements and deliver solutions that meet business needs Write clear, well-tested, and maintainable software and IaC for both new and existing systems Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance Participate in an on-call rotation to address critical incidents when necessary   About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.   Compensation We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy    

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About the TeamThe Strategic Finance team is responsible for some of the largest investment categories at OpenAI. We play a critical role in maximizing OpenAI’s long-term value by partnering across the business to allocate and deploy resources for the highest-impact outcomes. We work cross-functionally with Finance, Product, Engineering, and Go-To-Market teams to deliver actionable insights and support strategic decision-making.About the RoleAs one of the founding Data Scientists on the Strategic Finance Data Science team, you will design, implement, and own critical models, reporting, and analysis. You will work closely with Finance leadership, as well as teams across Research, Applied and Go-To-Market.This role requires deep expertise in predictive modeling, causal inference, and the ability to surface insights to support high-stakes decision-making.This role is based in our San Francisco HQ. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.In this role, you will:Become an expert in OpenAI’s data and systems. Partnering with Data Engineering, Finance, and other teams, you’ll self-serve data to derive critical insights.Scale causal inference models to measure the impact of different actions on user growth and financial outcomes.Architect customer segmentation frameworks to unlock tailored growth strategies and expand lifetime value.Automate standardized reporting and analysis by building data products or agentic solutions.Support product pricing and other business decisions with ad hoc analysis.Design and deliver dashboards for leadership to track key performance indicators and enable optimal decision-making.Manage and lead cross-functional data science projects end-to-end. You might thrive in this role if you have:MS or PhD in a quantitative field, with 7+ years of experience in a highly quantitative role, ideally as an early data scientist at a hyper-growth company or research organization.Proficiency in Python, SQL, Tableau, and other analytical tools.Strong analytical skills and experience working with large, complex data sets.Proven ability to distill complex data into actionable insights for leadership.Ability to independently initiate and complete projects, owning them end-to-end.Excellent communication and storytelling skills when presenting data insights.Exceptional attention to detail and a commitment to accuracy.You could be an especially great fit if:You’re an enthusiastic self-starter who thrives in fast-paced, dynamic environments.You’re a phenomenal teammate and communicator, able to explain complex topics with clarity and keep stakeholders proactively informed.You’re passionate about technology and artificial intelligence.You use first-principles thinking to design solutions from the ground up based on user needs and operational realities.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, and London.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you'll do:Drive the operational framework to build with and support our customers: As a foundational member of our Technical Program Manager function at Sierra, you will be responsible for partnering with our Agent Product Managers and Engineers to scope, build, and ship AI agents that handle millions of customer conversations a day.In this role, you will engage with all levels of our customers’ enterprise businesses and internal partners to:Drive execution and delivery of multiple complex, high-visibility agent development projects.Coordinate across technical and non-technical stakeholders through the full agent development lifecycle process.Co-own project planning process including creating and prioritizing roadmaps, aligning milestones and expected outcomes, and identifying and mitigating risks.Ensure clear communication across all stakeholders while developing strong relationships.Contribute data-driven, strategic insights to project and internal team decisions.Collaborate with internal cross-functional teams to share out periodic updates about our customers.What you'll bring:Project Management Skills: Deep experience leveraging project management methodologies and tools to masterfully orchestrate projects from planning to delivery, ensuring on-time completion.Outstanding Communication Skills: Excellent verbal and written communication skills to convey complex technical information to non-technical stakeholders, fostering collaboration and driving projects forward with clarity.Entrepreneurial Spirit: A strong bias for action and identifying areas for improvement across the business.Technical Expertise: Strong understanding of software development, product management and engineering principles, enabling you to act as a strategic partner to customers and internal teams as we turn visionary ideas into agents.Problem-Solving and Analytical Skills: Strong analytical and critical thinking skills to grasp complex concepts, and to identify risks and issues, develop mitigation strategies, and handle unexpected challenges across customer relationships and products.Leadership and Team Management: Proven ability to manage multiple projects simultaneously, leading and inspiring teams to deliver innovative ideas and exceptional agents.Organisational Systems: Experience implementing and using project management applications like Height, Asana, Notion, Atlassian or others.Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the SoHo neighborhood of New York, the Mission District in San Francisco, and East Liberty in Pittsburgh.The RoleWe are looking for a Product Manager who thrives in a dynamic, fast-paced environment and is excited to bring a new product from 0→1. As a Product Manager at Abridge, you will drive the development of our AI-powered healthcare platform. You will own the product lifecycle from ideation to execution, collaborating closely with generative AI engineers, designers, AI scientists, and other cross-functional teams to superpower clinician workflows and improve patient care experiences.Ideally, you have both a technical mindset and a strong product intuition, with a bias for action and rapid prototyping. You have a founder’s mindset: you take full ownership of outcomes and act with urgency. You thrive in high-intensity environments and find creative ways to make continual progress and unblock the team, no matter the obstacles in your way. You drive clarity and focus with your communications. You have a demonstrated curiosity and experience in integrating AI capabilities into product strategy, with a deep understanding of how AI can enhance user experiences and solve real-world problems. What You'll DoOwn your product’s strategy and drive its development through ideation, iteration, PMF, and large-scale deployment.Build prototypes to rapidly pressure test ideas. Vibe code your way to strong prototypes and engage regularly with healthcare stakeholders to gather feedback, update beliefs, and pivot until you have enough conviction on the right move to deliver value.Define and measure product success through key metrics and qualitative insights.Drive alignment between technical, commercial, and leadership teams, communicating vision, timelines, tradeoffs, and risks clearly and effectively.Who You AreBachelor's degree in a technical or relevant field5+ years of experience building and deploying product, either as a product manager, founder, or product-oriented technical leaderExperience leading AI-powered products is a plusHealthcare workflow experience a plusTrack record developing and delivering products successfully and driving user engagementUser-obsessed with an eye for intuitive UX and end-to-end polishStrong analytical skills and the ability to interpret data to drive decisionsExcellent communication, collaboration, and stakeholder management skillsWhy Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you.How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Diversity & InclusionAbridge is an equal opportunity employer. Diversity and inclusion is at the core of what we do. We actively welcome applicants from all backgrounds (including but not limited to race, gender, educational background, and sexual orientation).Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

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Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure. As a Senior AI Infrastructure Engineer, you will play a key role in building the next generation AI cloud platform – a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware (GB200s/GB300s, BlueField DPUs) and enables state-of-the-art ML practitioners with self-serve AI cloud services, such as on-demand + managed Kubernetes and Slurm clusters. This platform serves both our internal SaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world. Some of what you’ll work on: Design, build, and maintain performant, secure, and highly-available backend services/operators that run in our data centers and automate hardware management, such as Infiniband partitioning, in-DC parallel storage provisioning, and VM provisioning. Design and build out the IaaS software layer for a new GB200 data center with thousands of GPUs. Work on a global multi-exabyte high-performance object store, serving massive datasets for pretraining. Build advanced observability stacks for our customers with automated node lifecycle management for fault-tolerant distributed pretraining. To be successful, you’ll need to be deeply technical and possess excellent communication, collaboration, and diplomacy skills. You have strong fundamental software development skills. In addition, you have strong systems knowledge and troubleshooting abilities.  Requirements 5+ years of professional software development experience and proficiency in at least one backend programming language (Golang desired) 5+ years experience writing high-performance, well-tested, production quality code Demonstrated experience with building and operating high-performance and/or globally distributed micro-service architectures across one or more cloud providers (AWS, Azure, GCP) Excellent communication skills – able to write clear design docs and work effectively with both technical and non-technical team members Deep experience with Kubernetes internals a big plus, such as implementing non-trivial Kubernetes operators, device/storage/network plugins, custom schedulers, or patches thereon or Kubernetes itself Deep experience with VMs/hypervisors a big plus, such as QEMU/KVM, cloud-hypervisor, VFIO, virtio, PCIE passthrough, Kubevirt, SR-IOV Deep experience with DC networking tech + solutions a big plus, such as VLAN, VXLAN, VPN, VPC, OVS/OVN Experience with Cluster API or similar a big plus Experience working on high-performance compute, networking, and/or storage a big plus Experience virtualizing GPUs and/or Infiniband a big plus Strong systems knowledge across compute, networking, and storage, including concurrency, memory management, performant I/O, and scale Experience with infrastructure automation tools (Terraform, Ansible), monitoring/observability stacks (Prometheus, Grafana), and CI/CD pipelines (GitHub Actions, ArgoCD) Experience building IaaS or PaaS systems at scale a plus Experience with DPUs/SmartNICs a plus GPU programming, NCCL, CUDA knowledge a plus  Responsibilities Perform architecture and research work for decentralized AI workloads Work on the core, open-source Together AI platform Create services, tools, and developer documentation Create testing frameworks for robustness and fault-tolerance   About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy    

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, and London.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll doDesign and deliver production-grade AI agents: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce.Drive the Agent Development Life Cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way.Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency.Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product.Example projectsThese are some examples of projects that engineers on our team have worked on recently:Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churnDevelop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendationsCreate generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog!Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent developmentExperiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customersWhat you'll bringExperience building and scaling end-to-end production systemsStrong technical problem-solving skills, especially in fast-changing, ambiguous environmentsA builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and shipComfort working directly with customers to understand their needs and solve real-world problemsExcellent communication skills - clear, direct, and persuasive across technical and non-technical audiencesEven better...Experience building or deploying AI/LLM systems in productionHave been a founder or founding engineer - you know what it means to balance craft, ownership, and speedFamiliarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineeringPrior experience with React, TypeScript, and/or GoPrevious roles where you interfaced with customers or led technical projects with external stakeholdersOur valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role As an AI Tutor - Finance Specialist, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems from advanced finance fields, with a focus on investment analysis and topics including but not limited to equities, commodities, real estate, fixed income, forex, derivatives and accounting, where your expertise can drive significant improvements in model performance. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. The AI Tutor - Finance Specialist role is a remote, full-time position. AI Tutor’s Role in Advancing xAI’s Mission As an AI Tutor, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI’s AI models. AI Tutors teach our AI models about how people interact and react, as well as how people approach issues and discussions in finance. To accomplish this, AI Tutors will actively participate in gathering or providing data, such as text, voice, and video data, sometimes providing annotations, recording audio, or participating in video sessions. We seek individuals who are comfortable and eager to engage in these activities as a fundamental part of the role, ensuring a strong alignment with xAI’s goals and objectives to innovate. Scope An AI Tutor will provide services that include labeling and annotating data in text, voice, and video formats to support AI model training. At times, this may involve recording audio or video sessions, and tutors are expected to be comfortable with these tasks as they are fundamental to the role. Such data is a job requirement to advance xAI’s mission, and AI Tutors acknowledge that all work is done for hire and owned by xAI. Responsibilities Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Choose problems from finance fields that align with your expertise, focusing on areas like investment analysis, taxation, accounting, financial modeling, or risk assessment where you can confidently provide detailed solutions and evaluate model responses. Regularly interpret, analyze, and execute tasks based on given instructions. Key Qualifications Must possess a Master's or PhD in a finance-related field (Finance, Economics, Business Administration with a finance focus, or related disciplines) or equivalent professional experience as an investment analyst specializing in equity, commodities, real estate, fixed income, or accounting. Proficiency in reading and writing, both in informal and professional English. Strong research skills, with the ability to navigate various financial information resources, databases, and online resources (e.g., Bloomberg, Reuters, SEC filings). Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. Strong passion for and commitment to technological advancements and innovation in finance. Preferred Qualifications Professional experience as an investment analyst, portfolio or wealth manager, or financial consultant. Possesses research experience with at least one publication in a reputable finance or economics journal or outlet. Teaching experience (as a professor, teacher, or tutor) in finance-related subjects. CFA Charterholder Additional Requirements Available to occasionally work evenings and weekends, as the schedule varies depending on team operational needs; flexibility is required. Demonstrates a strong capacity to quickly adapt by learning new skills and unlearning outdated ones, thriving in dynamic and changing environments. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. Location, Hourly, and Other Expectations This position is fully remote. We are unable to provide visa sponsorship. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. You must own and have reliable access to a smartphone. Full-time schedules are 9-5:30pm in your local time zone. However, flexible hours can be offered. Compensation and Benefits The pay for this role may range from $35/hr - $65/hr. Your actual pay will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. For full-time roles, specific benefits vary by country, depending on your country of residence you may have access to medical benefits.  xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Customer Support Engineer Location: San Francisco, CA (Hybrid) About the role: As a Customer Support Engineer at a pioneering AI company, you'll be the first line of defense to support customers as they build out training, fine tuning, and inference solutions with Together AI. You'll dive deep into complex technical challenges, providing swift and effective solutions while serving as a product expert. As a part of the Customer Experience organization, you will collaborate closely with product and sales, driving continuous improvement of our offerings. This is an exciting opportunity for a deeply technical professional passionate about AI and customer success to make a significant impact in a fast-paced, innovative environment. Responsibilities Engage directly with customers to tackle and resolve complex technical challenges involving our cutting-edge GPU clusters and our inference and fine-tuning services; ensure swift and effective solutions every time. Become a product expert in all of our Gen AI solutions, serving as the last line of technical defense before issues are escalated to Engineering and Product teams. Collaborate seamlessly across Engineering, Research, and Product teams to address customer concerns; collaborate with senior leaders both internally and externally to ensure the highest levels of customer satisfaction. Transform customer insights into action by identifying patterns in support cases and working with Engineering and Go-To-Market teams to drive Together’s roadmap (e.g., future models to support) Maintain detailed documentation of system configurations, procedures, troubleshooting guides, and FAQs to facilitate knowledge sharing with team and customers. Be flexible in providing support coverage during holidays, nights and weekends as required by business needs to ensure consistent and reliable service for our customers. Qualifications 5+ years of experience in a customer-facing technical role with at least 1 year in a support function in AI  Strong technical background, with knowledge of AI, ML, GPU technologies and their integration into high-performance computing (HPC) environments. Familiarity with infrastructure services (e.g., Kubernetes, SLURM), infrastructure as code solutions (e.g., Ansible) high-performance network fabrics, NFS-based storage management, container infrastructure, and scripting and programming languages. Familiarity with operating storage systems in HPC environments such as Vast and Weka Familiarity with inspecting and resolving network-related errors  Strong knowledge of Python, TypeScript, and/or JavaScript with testing/debugging experience using curl and Postman-like tools Foundational understanding in the installation, configuration, administration, troubleshooting, and securing of compute clusters. Complex technical problem solving and troubleshooting, with a proactive approach to issue resolution Ability to work cross-functionally with teams such as Sales, Engineering, Support, Product and Research to drive customer success. Strong sense of ownership and willingness to learn new skills to ensure both team and customer success. Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders. Ability to operate in dynamic environments, adept at managing multiple projects, and comfortable with frequent context switching and prioritization. About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.  Compensation We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $180K-260K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

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About the TeamThe Kernels team at OpenAI builds the low-level software that accelerates our most ambitious AI research.We work at the boundary of hardware and software, developing high-performance kernels, distributed system optimizations, and runtime improvements to make large-scale training and inference more efficient.Our work enables OpenAI to push the limits by ensuring models - from LLMs to recommender systems - to run reliably on advanced supercomputing platforms. That includes adapting our software stack to new types of accelerators, tuning system performance end-to-end, and removing bottlenecks across every layer of the stack.About the RoleOn the Accelerators team, you will help OpenAI evaluate and bring up new compute platforms that can support large-scale AI training and inference.Your work will range from prototyping system software on new accelerators to enabling performance optimizations across our AI workloads.You’ll work across the stack, collaborating with both hardware and software aspects - working on kernels, sharding strategies, scaling across distributed systems, and performance modeling.You'll help adapt OpenAI's software stack to non-traditional hardware and drive efficiency improvements in core AI workloads. This is not a compiler-focused role, rather bridging ML algorithms with system performance - especially at scale.In this role, you will:Prototype and enable OpenAI's AI software stack on new, exploratory accelerator platforms.Optimize large-scale model performance (LLMs, recommender systems, distributed AI workloads) for diverse hardware environments.Develop kernels, sharding mechanisms, and system scaling strategies tailored to emerging accelerators.Collaborate on optimizations at the model code level (e.g. PyTorch) and below to enhance performance on non-traditional hardware. Perform system-level performance modeling, debug bottlenecks, and drive end-to-end optimization.Work with hardware teams and vendors to evaluate alternatives to existing platforms and adapt the software stack to their architectures.Contribute to runtime improvements, compute/communication overlapping, and scaling efforts for frontier AI workloads.You might thrive in this role if you have:3+ years of experience working on AI infrastructure, including kernels, systems, or hardware-software co-designHands-on experience with accelerator platforms for AI at data center scale (e.g., TPUs, custom silicon, exploratory architectures).Strong understanding of kernels, sharding, runtime systems, or distributed scaling techniques.Familiarity with optimizing LLMs, CNNs, or recommender models for hardware efficiency.Experience with performance modeling, system debugging, and software stack adaptation for novel architectures.Exposure to mobile accelerators is welcome, but experience enabling data center-scale AI hardware is preferred.Ability to operate across multiple levels of the stack, rapidly prototype solutions, and navigate ambiguity in early hardware bring-up phasesInterest in shaping the future of AI compute through exploration of alternatives to mainstream accelerators.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.