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About the role: Come define the future of AI Engineering at the company building the world’s leading agentic data science and analytics platform. As our AI Engineering Lead, you will accelerate the product and company by leveraging frontier AI technology and techniques, collaborating closely with product and engineering, and building and developing a world-class team of AI Engineers. What you will do: Stay up-to-date on the latest in AI technology and work with engineering teams to push the frontier of product capabilities Define and implement the future of the AI Engineering function at Hex as we scale Hire and mentor an exceptional team of AI Engineers Support an exceptional developer and research experience for teams working with AI technology Deliver high-performing shared AI infrastructure, including search systems About You: You have 4+ years of people management experience and leading high-performing teams You have deep familiarity with modern AI technology as well as classical ML systems and a passion for sharing that with others. Technologies of particular interest include LLMs and transformer models, agentic workflows, context management, and agentic evals. You are obsessed with driving business outcomes and delivering value to customers You are rigorous but pragmatic, balancing good experimental design with early-stage agility You are a strong communicator and love collaborating with other roles and teams to drive outcomes You are a talent magnet, with the ability to attract and retain exceptional AI talent Our stack Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack. This is a full-time role based out of either our San Francisco or New York office. Employees are encouraged to come into the office at least twice a week, with Tuesdays and Thursdays being our main in-person days. In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off. The salary range for this role is: $246,000 - $329,000 The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process. By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.

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About the role: Come define the future of AI Engineering at the company building the world’s leading agentic data science and analytics platform. As our AI Engineering Lead, you will accelerate the product and company by leveraging frontier AI technology and techniques, collaborating closely with product and engineering, and building and developing a world-class team of AI Engineers. What you will do: Stay up-to-date on the latest in AI technology and work with engineering teams to push the frontier of product capabilities Define and implement the future of the AI Engineering function at Hex as we scale Hire and mentor an exceptional team of AI Engineers Support an exceptional developer and research experience for teams working with AI technology Deliver high-performing shared AI infrastructure, including search systems About You: You have 4+ years of people management experience and leading high-performing teams You have deep familiarity with modern AI technology as well as classical ML systems and a passion for sharing that with others. Technologies of particular interest include LLMs and transformer models, agentic workflows, context management, and agentic evals. You are obsessed with driving business outcomes and delivering value to customers You are rigorous but pragmatic, balancing good experimental design with early-stage agility You are a strong communicator and love collaborating with other roles and teams to drive outcomes You are a talent magnet, with the ability to attract and retain exceptional AI talent Our stack Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack. This is a full-time role based out of either our San Francisco or New York office. Employees are encouraged to come into the office at least twice a week, with Tuesdays and Thursdays being our main in-person days. In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off. The salary range for this role is: $246,000 - $329,000 The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process. By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.

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About the role: Come define the future of AI Engineering at the company building the world’s leading agentic data science and analytics platform. As our AI Engineering Lead, you will accelerate the product and company by leveraging frontier AI technology and techniques, collaborating closely with product and engineering, and building and developing a world-class team of AI Engineers. What you will do: Stay up-to-date on the latest in AI technology and work with engineering teams to push the frontier of product capabilities Define and implement the future of the AI Engineering function at Hex as we scale Hire and mentor an exceptional team of AI Engineers Support an exceptional developer and research experience for teams working with AI technology Deliver high-performing shared AI infrastructure, including search systems About You: You have 4+ years of people management experience and leading high-performing teams You have deep familiarity with modern AI technology as well as classical ML systems and a passion for sharing that with others. Technologies of particular interest include LLMs and transformer models, agentic workflows, context management, and agentic evals. You are obsessed with driving business outcomes and delivering value to customers You are rigorous but pragmatic, balancing good experimental design with early-stage agility You are a strong communicator and love collaborating with other roles and teams to drive outcomes You are a talent magnet, with the ability to attract and retain exceptional AI talent Our stack Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack. This is a full-time role based out of either our San Francisco or New York office. Employees are encouraged to come into the office at least twice a week, with Tuesdays and Thursdays being our main in-person days. In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off. The salary range for this role is: $246,000 - $329,000 The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process. By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.

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About the role: Come define the future of AI Engineering at the company building the world’s leading agentic data science and analytics platform. As our AI Engineering Lead, you will accelerate the product and company by leveraging frontier AI technology and techniques, collaborating closely with product and engineering, and building and developing a world-class team of AI Engineers. What you will do: Stay up-to-date on the latest in AI technology and work with engineering teams to push the frontier of product capabilities Define and implement the future of the AI Engineering function at Hex as we scale Hire and mentor an exceptional team of AI Engineers Support an exceptional developer and research experience for teams working with AI technology Deliver high-performing shared AI infrastructure, including search systems About You: You have 4+ years of people management experience and leading high-performing teams You have deep familiarity with modern AI technology as well as classical ML systems and a passion for sharing that with others. Technologies of particular interest include LLMs and transformer models, agentic workflows, context management, and agentic evals. You are obsessed with driving business outcomes and delivering value to customers You are rigorous but pragmatic, balancing good experimental design with early-stage agility You are a strong communicator and love collaborating with other roles and teams to drive outcomes You are a talent magnet, with the ability to attract and retain exceptional AI talent Our stack Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack. This is a full-time role based out of either our San Francisco or New York office. Employees are encouraged to come into the office at least twice a week, with Tuesdays and Thursdays being our main in-person days. In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off. The salary range for this role is: $246,000 - $329,000 The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process. By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.

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About the role: Come define the future of AI Engineering at the company building the world’s leading agentic data science and analytics platform. As our AI Engineering Lead, you will accelerate the product and company by leveraging frontier AI technology and techniques, collaborating closely with product and engineering, and building and developing a world-class team of AI Engineers. What you will do: Stay up-to-date on the latest in AI technology and work with engineering teams to push the frontier of product capabilities Define and implement the future of the AI Engineering function at Hex as we scale Hire and mentor an exceptional team of AI Engineers Support an exceptional developer and research experience for teams working with AI technology Deliver high-performing shared AI infrastructure, including search systems About You: You have 4+ years of people management experience and leading high-performing teams You have deep familiarity with modern AI technology as well as classical ML systems and a passion for sharing that with others. Technologies of particular interest include LLMs and transformer models, agentic workflows, context management, and agentic evals. You are obsessed with driving business outcomes and delivering value to customers You are rigorous but pragmatic, balancing good experimental design with early-stage agility You are a strong communicator and love collaborating with other roles and teams to drive outcomes You are a talent magnet, with the ability to attract and retain exceptional AI talent Our stack Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack. This is a full-time role based out of either our San Francisco or New York office. Employees are encouraged to come into the office at least twice a week, with Tuesdays and Thursdays being our main in-person days. In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off. The salary range for this role is: $246,000 - $329,000 The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process. By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.

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About the role: Come define the future of AI Engineering at the company building the world’s leading agentic data science and analytics platform. As our AI Engineering Lead, you will accelerate the product and company by leveraging frontier AI technology and techniques, collaborating closely with product and engineering, and building and developing a world-class team of AI Engineers. What you will do: Stay up-to-date on the latest in AI technology and work with engineering teams to push the frontier of product capabilities Define and implement the future of the AI Engineering function at Hex as we scale Hire and mentor an exceptional team of AI Engineers Support an exceptional developer and research experience for teams working with AI technology Deliver high-performing shared AI infrastructure, including search systems About You: You have 4+ years of people management experience and leading high-performing teams You have deep familiarity with modern AI technology as well as classical ML systems and a passion for sharing that with others. Technologies of particular interest include LLMs and transformer models, agentic workflows, context management, and agentic evals. You are obsessed with driving business outcomes and delivering value to customers You are rigorous but pragmatic, balancing good experimental design with early-stage agility You are a strong communicator and love collaborating with other roles and teams to drive outcomes You are a talent magnet, with the ability to attract and retain exceptional AI talent Our stack Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack. This is a full-time role based out of either our San Francisco or New York office. Employees are encouraged to come into the office at least twice a week, with Tuesdays and Thursdays being our main in-person days. In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off. The salary range for this role is: $246,000 - $329,000 The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process. By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.

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About the role: Come define the future of AI Engineering at the company building the world’s leading agentic data science and analytics platform. As our AI Engineering Lead, you will accelerate the product and company by leveraging frontier AI technology and techniques, collaborating closely with product and engineering, and building and developing a world-class team of AI Engineers. What you will do: Stay up-to-date on the latest in AI technology and work with engineering teams to push the frontier of product capabilities Define and implement the future of the AI Engineering function at Hex as we scale Hire and mentor an exceptional team of AI Engineers Support an exceptional developer and research experience for teams working with AI technology Deliver high-performing shared AI infrastructure, including search systems About You: You have 4+ years of people management experience and leading high-performing teams You have deep familiarity with modern AI technology as well as classical ML systems and a passion for sharing that with others. Technologies of particular interest include LLMs and transformer models, agentic workflows, context management, and agentic evals. You are obsessed with driving business outcomes and delivering value to customers You are rigorous but pragmatic, balancing good experimental design with early-stage agility You are a strong communicator and love collaborating with other roles and teams to drive outcomes You are a talent magnet, with the ability to attract and retain exceptional AI talent Our stack Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack. This is a full-time role based out of either our San Francisco or New York office. Employees are encouraged to come into the office at least twice a week, with Tuesdays and Thursdays being our main in-person days. In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off. The salary range for this role is: $246,000 - $329,000 The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process. By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.

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About the role: Come define the future of AI Engineering at the company building the world’s leading agentic data science and analytics platform. As our AI Engineering Lead, you will accelerate the product and company by leveraging frontier AI technology and techniques, collaborating closely with product and engineering, and building and developing a world-class team of AI Engineers. What you will do: Stay up-to-date on the latest in AI technology and work with engineering teams to push the frontier of product capabilities Define and implement the future of the AI Engineering function at Hex as we scale Hire and mentor an exceptional team of AI Engineers Support an exceptional developer and research experience for teams working with AI technology Deliver high-performing shared AI infrastructure, including search systems About You: You have 4+ years of people management experience and leading high-performing teams You have deep familiarity with modern AI technology as well as classical ML systems and a passion for sharing that with others. Technologies of particular interest include LLMs and transformer models, agentic workflows, context management, and agentic evals. You are obsessed with driving business outcomes and delivering value to customers You are rigorous but pragmatic, balancing good experimental design with early-stage agility You are a strong communicator and love collaborating with other roles and teams to drive outcomes You are a talent magnet, with the ability to attract and retain exceptional AI talent Our stack Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack. This is a full-time role based out of either our San Francisco or New York office. Employees are encouraged to come into the office at least twice a week, with Tuesdays and Thursdays being our main in-person days. In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off. The salary range for this role is: $246,000 - $329,000 The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process. By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.

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About the role: Come define the future of AI Engineering at the company building the world’s leading agentic data science and analytics platform. As our AI Engineering Lead, you will accelerate the product and company by leveraging frontier AI technology and techniques, collaborating closely with product and engineering, and building and developing a world-class team of AI Engineers. What you will do: Stay up-to-date on the latest in AI technology and work with engineering teams to push the frontier of product capabilities Define and implement the future of the AI Engineering function at Hex as we scale Hire and mentor an exceptional team of AI Engineers Support an exceptional developer and research experience for teams working with AI technology Deliver high-performing shared AI infrastructure, including search systems About You: You have 4+ years of people management experience and leading high-performing teams You have deep familiarity with modern AI technology as well as classical ML systems and a passion for sharing that with others. Technologies of particular interest include LLMs and transformer models, agentic workflows, context management, and agentic evals. You are obsessed with driving business outcomes and delivering value to customers You are rigorous but pragmatic, balancing good experimental design with early-stage agility You are a strong communicator and love collaborating with other roles and teams to drive outcomes You are a talent magnet, with the ability to attract and retain exceptional AI talent Our stack Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack. This is a full-time role based out of either our San Francisco or New York office. Employees are encouraged to come into the office at least twice a week, with Tuesdays and Thursdays being our main in-person days. In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off. The salary range for this role is: $246,000 - $329,000 The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process. By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.

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About the role: Come define the future of AI Engineering at the company building the world’s leading agentic data science and analytics platform. As our AI Engineering Lead, you will accelerate the product and company by leveraging frontier AI technology and techniques, collaborating closely with product and engineering, and building and developing a world-class team of AI Engineers. What you will do: Stay up-to-date on the latest in AI technology and work with engineering teams to push the frontier of product capabilities Define and implement the future of the AI Engineering function at Hex as we scale Hire and mentor an exceptional team of AI Engineers Support an exceptional developer and research experience for teams working with AI technology Deliver high-performing shared AI infrastructure, including search systems About You: You have 4+ years of people management experience and leading high-performing teams You have deep familiarity with modern AI technology as well as classical ML systems and a passion for sharing that with others. Technologies of particular interest include LLMs and transformer models, agentic workflows, context management, and agentic evals. You are obsessed with driving business outcomes and delivering value to customers You are rigorous but pragmatic, balancing good experimental design with early-stage agility You are a strong communicator and love collaborating with other roles and teams to drive outcomes You are a talent magnet, with the ability to attract and retain exceptional AI talent Our stack Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack. This is a full-time role based out of either our San Francisco or New York office. Employees are encouraged to come into the office at least twice a week, with Tuesdays and Thursdays being our main in-person days. In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off. The salary range for this role is: $246,000 - $329,000 The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process. By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.

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Location: Irvine, CA (5 days onsite)Type: Fixed Term About FieldAI FieldAI is building advanced AI systems to power real-world autonomy. As a fast-growing company at the forefront of innovation, we move quickly and operate with high standards, supporting leaders who are shaping the future of AI. Role Overview We're hiring an experienced AI engineer to design, build, and own the Executive Communication Agents that power our leadership and communications operations. You'll work directly with our C-level leadership and their EAs to automate and augment high-stakes workflows, including scheduling, inbox management, meeting prep and follow-ups, task prioritization, travel, project coordination, internal comms, and executive research, and to set the technical direction for how FieldAI uses its own technology internally. This role combines deep AI engineering with strong product and communications sensibilities. The agents you build will collaborate closely with executives, suggest scheduling decisions, and support leadership in day-to-day operations. You'll prototype on Monday, ship to real users by Friday, and iterate based on what you see them actually doing with it. What You’ll Get To Do Architect and build production-grade Executive Communication Agents for workflows including scheduling, email triage and drafting, meeting prep and follow-ups, travel coordination, project coordination and action item tracking, and briefing generation Own the full agent stack: orchestration, memory, tool use, evals, guardrails, and the integrations that connect agents to Google Workspace, Slack, calendar, and travel systems, and internal knowledge sources Partner directly with C-level leadership and EAs as your first users to observe their workflows, identify the highest-leverage automation opportunities, and translate messy real-world processes into shipped systems Set the bar for agent quality by building evaluation frameworks, defining reliability and safety standards, and ensuring agents are trustworthy Move fast across the full stack when needed: backend services, agent orchestration, Chrome extensions, and Slack bots, whatever gets the workflow unblocked Influence product direction for internal AI tooling and help translate learnings into patterns the broader company can build on What You Have 3+ years of software engineering experience, with 2+ years building LLM-powered products or agents in production Strong proficiency in Python and/or TypeScript and experience with modern agent frameworks (LangGraph, CrewAI, custom orchestration, etc.) Deep hands-on work with LLM APIs, RAG, tool use, function calling, prompt engineering, and eval design Experience shipping products that integrate with Google Workspace, Slack, or similar enterprise APIs A track record of shipping end-to-end, including side projects, internal tools, or production features you took from idea to live users quickly Excellent written and verbal communication, with the ability to work directly with executives, write clearly, and care about the quality of the text your agents produce Strong product instincts and comfort operating in ambiguous, fast-moving environments High judgment and discretion when working with confidential executive information Ability to work onsite in Irvine, CA, five days per week The Extras That Set You Apart Prior experience building AI assistants, copilots, or agentic products used by non-technical end users Background in a high-growth startup or early-stage AI company Experience working directly with executives and EA teams Contributions to open-source agent frameworks or applied AI tooling Experience with multi-agent systems, long-horizon planning, or human-in-the-loop workflows Compensation and Benefits Our salary range is highly competitive with the market, but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.     Why Join Field AI? We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.   You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.   Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.   We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates.    Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!       We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

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Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at https://fieldai.com. About the Job Field AI is building the future of autonomy, from rugged terrain to real-world deployment. We are on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments.  As our Robotics Autonomy Engineer – Planning and Control, you will design, implement, and deploy advanced motion planning and control algorithms that enable our robots to move with precision, robustness, and efficiency across diverse environments. You will work on navigation, trajectory generation, and motion control for robotic platforms ranging from wheeled and legged systems to complex humanoid architectures. If enabling robots to navigate challenging, dynamic environments excites you, and you want to work where your code works in the physical world - this is your role. This is Field AI. What You’ll Get To Do 1. Develop Robust Motion Planning Algorithms Design, develop, and refine motion and navigation planning algorithms for challenging real-world scenarios such as narrow passages, dynamic obstacles, and complex environments. Design optimization-driven approaches for path and trajectory generation that ensure smooth, reliable, and efficient robot navigation across modalities. Ensure scalability, reusability, and adaptability of planning approaches across diverse deployment contexts. 2. Advance Control and Planning Integration Develop and tune control algorithms that ensure precise trajectory tracking and stable operation across different robotic systems. Collaborate across autonomy layers to ensure seamless coordination between perception, planning, and control for robust real-world performance. 3. Validate and Test Across the Stack Build and maintain testing pipelines from unit-level validation to full robot deployment. Utilize simulation and testing environments for algorithm evaluation, benchmarking, and regression validation. Analyze real-world telemetry to diagnose issues, identify improvements, and enhance algorithm robustness. 4. Diagnose and Improve Field Performance Investigate and resolve issues arising from field deployments through structured data analysis and debugging. Deliver targeted improvements that address specific challenges while maintaining general-case reliability and performance. What You Have Master’s degree or higher in Robotics, Computer Science, Mechanical/Electrical Engineering, or a related field (PhD a plus). Strong understanding of motion planning, trajectory generation, and control systems. Experience developing algorithms for one or more robotic systems (wheeled, legged, wheeled-legged, humanoid). Familiarity with motion planning libraries like OMPL, MoveIt, Nav2 stack etc Solid programming skills in C++ and Python on Linux-based systems. Familiarity with robotics middleware such as ROS/ROS 2. Experience with robot sensors including LiDARs, stereo/depth cameras, IMUs, GPS, wheel encoders. Ability to work on US government project The Extras That Set You Apart Exposure to real-world deployment of autonomous systems. Background in optimization, control, or numerical methods for trajectory planning. Familiarity with learning-based or hybrid planning approaches. Contributions to open-source planning or control frameworks. Familiarity with safety-critical autonomy and industrial robotics use cases. 70,000 - 300,000 a year This position is for our FieldAI Federal Team.  This team works on projects connected to the U.S. government which requires U.S. Person eligibility.  A U.S. Person as defined by 22 C.F.R  §120.62 includes U.S. Citizen, U.S. National, lawful permanent residents (green card holders) refugee or asylee.    Compensation and Benefits Our salary range is between ($70,000 - $300,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.  Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.   Why Join Field AI? We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.   You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.   Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.   We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates.    Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!   We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

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Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.   We are offering a Summer 2026 internship in Robot Learning for students interested in advancing embodied intelligence through large-scale learning, foundation models, and real-world robotic deployment. As a research intern, you will work closely with FieldAI researchers and engineers to explore novel approaches to robot learning and autonomy, with a focus on scalable methods that generalize across tasks and embodiments.   This internship is designed for PhD students who want to connect cutting-edge AI research with practical robotics systems. You will have the opportunity to design experiments, develop learning pipelines, and validate ideas on real robotic platforms, contributing directly to FieldAI’s deployed autonomy stack. What You Have: Current PhD student in Robotics, Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. Research experience in robot learning, reinforcement learning, imitation learning, or related areas. Strong foundation in machine learning fundamentals and experimental methodology. Develop multi-modal data collection platform for day/night robot navigation data collection Collect high-quality datasets for reproducible and comparable research and evaluation Summarize and publish learnings in high-quality robot research conference or journal Ability to work independently while collaborating effectively in a research environment. Strong interest in embodied intelligence and real-world robotics systems. The Extras That Set You Apart Prior experience working with real robot platforms. Familiarity with ROS or ROS 2. Experience with large-scale or distributed training systems. Publications or open-source contributions in robotics or AI. Background in perception, planning, or control for robotics. Interest in bridging foundational research with deployed robotic systems. 50 - 53    What You Have: Current PhD student in Robotics, Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. Research experience in robot learning, reinforcement learning, imitation learning, or related areas. Strong foundation in machine learning fundamentals and experimental methodology. Develop multi-modal data collection platform for day/night robot navigation data collection Collect high-quality datasets for reproducible and comparable research and evaluation Summarize and publish learnings in high-quality robot research conference or journal Ability to work independently while collaborating effectively in a research environment. Strong interest in embodied intelligence and real-world robotics systems. The Extras That Set You Apart Prior experience working with real robot platforms. Familiarity with ROS or ROS 2. Experience with large-scale or distributed training systems. Publications or open-source contributions in robotics or AI. Background in perception, planning, or control for robotics. Interest in bridging foundational research with deployed robotic systems. Our salary range is generous and we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.    Why Join Field AI? We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.   You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.   Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.   We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates.    Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!   We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

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Our PurposeAt Fiddler, we understand the implications of AI and the impact that it has on human lives. Our company was born with the mission of building trust into AI. The rise of Generative AI and Agents has unlocked generalized intelligence but also widened the risk aperture and made it harder to ensure that AI applications are working well. Fiddler enables organizations to get ahead of these issues by helping deploy trustworthy, and transparent AI solutions. Fiddler partners with AI-first organizations to help build a long-term framework for responsible AI practices, which, in turn, builds trust with their user base. AI Engineers, Data Science, and business teams use Fiddler AI to monitor, evaluate, secure, analyze, and improve their AI solutions to drive better outcomes. Our platform enables engineering teams and business stakeholders alike to understand the "what", “why”, and "how" behind AI outcomes.  Our FoundersFiddler AI is founded by Krishna Gade (engineering leader at Facebook, Pinterest, Twitter, and Microsoft) and Amit Paka (product leader at Microsoft, Samsung, Paypal and two-time founder). We are backed by Insight Partners, Lightspeed Venture Partners, and Lux Capital. Why Join UsOur team is motivated to help build trust into AI to enable society harness the power of AI. Joining us means you get to make an impact by ensuring that AI applications at production scale across industries have operational transparency and security.  We are an early-stage startup and have a rapidly growing team of intelligent and empathetic doers, thinkers, creators, builders, and everyone in between. The AI and ML industry has a rapid pace of innovation and the learning opportunities here are monumental. This is your chance to be a trailblazer.  Fiddler is recognized as a pioneer in the field of AI Observability and has received numerous accolades, including:  2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, 2020 Forbes AI 50 most promising startups of 2020, and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our brilliant (at least we think so) team, you will help pave the way in the AI Observability space. Staff AI Scientist (Hybrid)👩🏽‍🚀 The Mission:At Fiddler, we understand the implications of AI and the impact that it has on human lives. Our company was born with the mission of building trust into AI. The rise of Generative AI and Agents has unlocked generalized intelligence but also widened the risk aperture and made it harder to ensure that AI applications are working well. Fiddler enables organizations to get ahead of these issues by helping deploy trustworthy and transparent AI solutions.Fiddler partners with AI-first organizations to help build a long-term framework for responsible AI practices, which, in turn, builds trust with their user base. AI Engineers, Data Science, and business teams use Fiddler AI to monitor, evaluate, secure, analyze, and improve their AI solutions to drive better outcomes. Our platform enables engineering teams and business stakeholders alike to understand the "what", "why", and "how" behind AI outcomes. 🪐 About The Team:You’ll join a tight-knit, highly collaborative AI Science team that partners closely with some of the world’s leading enterprise AI organizations. We operate in a hybrid capacity, but stay deeply connected through constant communication, collaboration, and shared purpose. Our team thrives on knowledge sharing, peer learning, and collective problem solving – no one works in a silo.We celebrate each other’s successes, support one another through complex challenges, and take pride in helping our customers achieve real-world impact with Fiddler’s AI Observability platform. Every project is a team effort, and every win is shared. If you love working alongside smart, driven peers who genuinely care about both customer success and each other’s growth, you’ll feel right at home here. 🚀 What You’ll Do: Lead applied research and development. Lead applied research and development for the models and datasets at the core of Fiddler's Trust Service and suite of guardrail classifiers and evaluators that customers depend on to keep their LLM and agentic applications safe, accurate, and compliant in production. Partner closely with other engineering teams, Product, and Customer Success. You’ll build strong relationships with customer data science and ML engineering teams, supporting their AI observability journey and ensuring they realize measurable value from Fiddler. Design, train, and ship production classifiers for safety, security, and quality detection (e.g., prompt injection, jailbreaks, PII, hallucination, faithfulness) under strict latency and cost constraints. Lead the development of synthetic and adversarial dataset pipelines, including novel methods for generating, filtering, and validating data that exposes failure modes our models need to learn. Drive the technical direction of generative insights – the LLM- and agent-powered analysis layer that helps customers diagnose what's going wrong in their AI applications and why. Contribute to the evaluation and experimentation infrastructure that lets the AI Science team and our customers reliably measure model quality, regression, and drift across rapidly evolving model populations.Explore reinforcement learning and preference-based methods where they offer real leverage over supervised baselines.Collaborate with Backend and Platform engineers to take research prototypes from notebook to a hardened, scaled, observable service. Partner with Product, Solutions Engineering, and Customer Success to translate enterprise customer needs into research problems — and translate research results back into product.Mentor AI Scientists on the team, raise the technical bar through code review and design review, and represent Fiddler externally through publications, talks, or open-source contributions when appropriate.🎯 What We’re Looking For7+ years of applied AI experience, with a strong track record of taking models from research to productionExperience in LLM or Agentic Evals, GuardrailingDeep expertise training and fine-tuning classifier models, including modern encoder architectures (BERT-family, ModernBERT, etc.) and LLM-as-classifier approaches; clear understanding of the tradeoffs between themHands-on experience with dataset development as a first-class engineering discipline: sourcing, labeling, synthetic generation, adversarial augmentation, and quality controlStrong applied experience with LLMs and agentic systems – prompting, fine-tuning, and evaluationProficiency in Python and the modern ML stack (PyTorch, Hugging Face, common training/serving frameworks)Comfortable working in production environments and partnering with backend and platform engineers on real-time inference, monitoring, and rolloutExcited by the prospect of using AI coding tools in your own workflow to push the limits of what one engineer can ship – responsibly, with a clear eye on quality, security, and the failure modes these tools introduceExcellent written and verbal communication; able to explain research tradeoffs to engineers, PMs, and customersEven BetterM.S. or Ph.D. in Computer Science, Machine Learning, Statistics, Physics, or a related quantitative fieldPublished research at top ML or NLP venues (NeurIPS, ICML, ICLR, ACL, EMNLP, etc.)Experience with reinforcement learning, RLHF, RLAIF, or preference-based fine-tuningExperience with synthetic data generation pipelines at scaleBackground in AI safety, red-teaming, or adversarial MLExperience working with enterprise customers in regulated industries (finance, healthcare, government)🫱🏼‍🫲🏾 Compensation: $190K - 300K Bay Area🩺 Benefits & PerksUnlimited PTOCompetitive pay + equityPremium health, dental & vision (100% premiums covered for employee)401(k) planMonthly fitness reimbursementPaid parental leavePalo Alto HQ VibesFree annual Caltrain passMonthly in-office massagesFastrak reimbursementFree lunch Mon–ThursThe posted range represents the expected salary range for this job requisition and does not include any other potential components of the compensation package and perks previously outlined. Ultimately, in determining pay, we'll consider your experience, leveling, location, and other job-related factors.Fiddler is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you require special accommodations in order to complete the interviews or perform job duties, please inform the recruiter at the beginning of the process.Beware of job scam fraud. Our recruiters use @fiddler.ai email addresses exclusively. In the US, we do not conduct interviews via text or instant message, or ask for sensitive personal information such as bank account or social security numbers.The posted range represents the expected salary range for this job requisition and does not include any other potential components of the compensation package and perks previously outlined. Ultimately, in determining pay, we'll consider your experience, leveling, location, and other job-related factors.Fiddler is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you require special accommodations in order to complete the interviews or perform job duties, please inform the recruiter at the beginning of the process.Beware of job scam fraud. Our recruiters use @fiddler.ai email addresses exclusively. In the US, we do not conduct interviews via text or instant message, or ask for sensitive personal information such as bank account or social security numbers.

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The Agentic Security team builds the security layer for AI agents in production. We discover agents across platforms and developer toolchains, model their tools/data/permissions and exposure, and turn that posture into explainable risk signals and guardrails, enabling organizations to adopt agents safely without slowing down innovation. As a Software Engineer at Lakera, a Check Point company, you have the chance to contribute to and lead efforts across our whole stack, whether that's squeezing a few more milliseconds out of our inference pipeline, scaling our automatic auto red teaming algorithms to uncover flaws in GPT-4 or redesigning our data infrastructure. In all cases, your work will play a vital role in ensuring that AI can unleash its best potential for good.About UsWe are on a mission to ensure AI does what we want it to do. We are heading towards a future where AI agents run our businesses and personal lives. We're not just dreaming about the future; we're building the security foundation for it. We empower security teams and builders so that their businesses can adopt AI technologies and unleash the next phase of intelligent computing.We work with Fortune 500 companies, startups, and foundation model providers to protect them and their users from adversarial misalignment. We are also the company behind Gandalf, the world’s most popular AI security game.We move fast and work with intensity. We act as one team but expect everyone to take substantial ownership and accountability. We prioritize transparency at every level and are committed to always raising the bar in everything we do. We promote diversity of thought as we believe that creates the best outcomes. ResponsibilitiesDesign and implement core product features in close collaboration with the founding team.Find pragmatic solutions to complex algorithmic problems.Strike a balance between scalable code design and development speed. Shipping fast is key.Contribute to shipping new features and improvements to our products.Scale our existing software stack and algorithms to serve the most demanding use-cases.Support the team in establishing a stable, high quality and flexible software engineering process. About you:Experience developing production-level code across a variety of technologies.Pragmatism, enjoy taking ownership, being hands-on, and getting things done while being mindful of our longer-term vision.Enjoy working on a wide range of algorithmic problems and designing efficient software systems.Sense for product/customer needs.Familiar with production level Python, C++, Golang or another interesting set of programming languages;Frequent contributor to open-source projects and an active participant in open-source communities.Productive by yourself as you solve abstract problems independently and produce results without constant supervision.Excited about a front-row seat in a fast growing, early-stage company (a rapidly changing, often ambiguous and undefined environment)Interest in AI security.👉 Let's stay connected! Follow us on LinkedIn, Twitter & Instagram to learn more about what is happening at Lakera.ℹ️ Join us on Momentum, the slack community for AI Safety and Security everything.❗To remove your information from our recruitment database, please email privacy@lakera.ai.

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About Distyl AI Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations. We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys. Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business.What We Are Looking ForAt Distyl, Forward Deployed AI Engineers build and operate AI systems that deliver real business value inside customer environments. This role is for engineers who thrive in ambiguous problem spaces, take ownership of outcomes, and are excited to work directly on production AI systems that must perform reliably under real-world constraints.Forward Deployed AI Engineers are hands-on builders who design, deploy, and iterate on end-to-end AI systems. They work close to customers to understand real requirements, translate them into concrete system designs, and continuously improve system behavior through evaluation, iteration, and integration. Their focus is not on demos or experiments in isolation, but on making AI systems work in practice.Key ResponsibilitiesOwn the behavior and performance of AI systems deployed for customers Design and implement compound AI workflows that combine models, agents, retrieval, evaluation, and execution into coherent, production-ready systems aligned with real SME needsOperate on live systems, measuring behavior, identifying failure modes, and iterating rapidly to improve quality, reliability, and usefulness. This includes designing prompts and agent logic, building evaluation frameworks, integrating feedback loops, and using AI-driven tools to accelerate debugging and experimentationIntegrate AI systems into customer data platforms, APIs, and existing applications. You'll make pragmatic system design decisions that balance speed, robustness, and maintainability, and ensure systems remain understandable and operable over timeWork directly with customer stakeholders—often in high-visibility settings—and are expected to reason clearly about system behavior, tradeoffs, and limitations. Take accountability for outcomes in production and adapt systems as requirements evolveWhat We Require2+ years of software engineering experience Ownership Mentality for AI Systems: You take responsibility for whether an AI system actually delivers its intended value in production. You are comfortable making independent technical decisions across system design, evaluation, and integration, and owning the results of those decisionsExperience Building AI Systems, Not Just Calling APIs: Built applications powered by LLMs or other AI models and are comfortable composing multiple components—prompts, agents, tools, retrieval, evaluators—into end-to-end systems. You reason about system behavior holistically rather than treating models as black boxesStrong Engineering Fundamentals: Write clean, maintainable Python and are comfortable building and operating real systems. You understand core engineering concepts like versioning, debugging, testing, and performance, and can build systems that hold up under real usage and scrutinyAI-Native Working Style: Use AI tools daily to write and debug code, explore designs, analyze data, and automate repetitive work. You are curious about new model capabilities and techniques, and actively incorporate them into how you build and iterate on systemsComfort in Customer Environments: Able to work directly with customer teams, ask good questions, and adapt quickly to new domains. You communicate clearly about system behavior and limitations, and can operate effectively in high-trust, high-visibility situationsTravel: Ability to travel 25-50%What We OfferThe base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package100% covered medical, dental, and vision for employees and dependents401(k) with additional perks (e.g., commuter benefits, in‑office lunch)Access to state‑of‑the‑art models, generous usage of modern AI tools, and real‑world business problemsOwnership of high‑impact projects across top enterprisesA mission‑driven, fast‑moving culture that prizes curiosity, pragmatism, and excellenceDistyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.We’re grateful for the strong interest in this role. The best way to get your profile in front of our team is to apply directly through our careers page, where all applications are reviewed. Due to the high volume of interest, we’re not able to review or respond to all direct emails or LinkedIn messages. We will be in touch with every applicant once we’ve completed our review, regardless of the decision.We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.

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About the teamThe AI Deployment Engineering team works closely with frontier startups. We are trusted advisors to, and thought partners with, startups to ensure that OpenAI’s technology is deployed safely and effectively, whilst also partnering with engineering, research, and product to turn those insights into evaluation systems, product improvements, and better model behavior.This team sits at the intersection of customer reality and model quality. We combine hands-on technical depth with strong product judgment, helping translate complex, high-value use cases into clear signals that can improve both the customer experience and the underlying systems.About the roleWe are seeking a technically proficient, product-minded engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, helping them optimize their own systems and turning those learnings into durable improvements across OpenAI’s research and products. You will partner deeply on complex workflows, identify the gaps that matter, and help transform those gaps into reproducible evaluations, technical insights - helping shape OpenAI's research and product direction.This role is well suited to engineers who are equally comfortable debugging a workflow, iterating on prompts or agents, designing evaluations, and collaborating across research and product. You should be excited by ambiguous, high-impact problems and motivated by the opportunity to shape how advanced AI systems improve in practice.This role is based in London. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. In this role, you will:Work directly with strategic startup customers to understand critical workflows, uncover failure modes, and identify high-impact opportunities for improvement.Prototype and iterate on prompts, agents, and workflow designs to better understand system behavior and unlock customer value.Synthesize and deliver valuable feedback to the Product and Research teams, turning real usage patterns into clear, reproducible evals, benchmarks, and technical artifacts that improve model and product quality and ensure customer-grounded learnings influence roadmap and model development.Build repeatable tools, patterns, and evaluation approaches that raise the quality bar across multiple use cases.Operate with strong judgment in ambiguous environments, balancing immediate technical problem-solving with longer-term system improvement.Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community.You’ll thrive in this role if you:Have strong software engineering & AI fundamentals. For example, experience as a startup CTO, software engineer, ML engineer, Data Scientist or equivalent. Experience shipping production systems end-to-end is a strong plus.Have experience as a technical founder, or engineer at an early stage startupHave familiarity with, or interest in, model training pipelines and reinforcement learning.Have experience building AI applications, agents, or evaluation systems, and can reason clearly about model behavior in complex workflows.Are comfortable working directly with highly technical users and translating their challenges into concrete technical signals.Can move fluidly between prototyping, debugging, evaluation design, and cross-functional collaboration.Communicate clearly across technical and non-technical audiences.Bring high agency, strong product sense, and a bias toward building durable improvements rather than one-off fixesAbout 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.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. 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.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.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 the teamThe AI Deployment Engineering team works closely with frontier startups. We are trusted advisors to, and thought partners with, startups to ensure that OpenAI’s technology is deployed safely and effectively, whilst also partnering with engineering, research, and product to turn those insights into evaluation systems, product improvements, and better model behavior.This team sits at the intersection of customer reality and model quality. We combine hands-on technical depth with strong product judgment, helping translate complex, high-value use cases into clear signals that can improve both the customer experience and the underlying systems.This role is based in Paris. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. We require fluency in French for this role. About the roleWe are seeking a technically proficient, product-minded engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, helping them optimize their own systems and turning those learnings into durable improvements across OpenAI’s research and products. You will partner deeply on complex workflows, identify the gaps that matter, and help transform those gaps into reproducible evaluations, technical insights - helping shape OpenAI's research and product direction.This role is well suited to engineers who are equally comfortable debugging a workflow, iterating on prompts or agents, designing evaluations, and collaborating across research and product. You should be excited by ambiguous, high-impact problems and motivated by the opportunity to shape how advanced AI systems improve in practice.In this role, you will:Work directly with strategic startup customers to understand critical workflows, uncover failure modes, and identify high-impact opportunities for improvement.Prototype and iterate on prompts, agents, and workflow designs to better understand system behavior and unlock customer value.Synthesize and deliver valuable feedback to the Product and Research teams, turning real usage patterns into clear, reproducible evals, benchmarks, and technical artifacts that improve model and product quality and ensure customer-grounded learnings influence roadmap and model development.Build repeatable tools, patterns, and evaluation approaches that raise the quality bar across multiple use cases.Operate with strong judgment in ambiguous environments, balancing immediate technical problem-solving with longer-term system improvement.Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community.You’ll thrive in this role if you:Have strong software engineering & AI fundamentals. For example, experience as a startup CTO, software engineer, ML engineer, Data Scientist or equivalent. Experience shipping production systems end-to-end is a strong plus.Have experience as a technical founder, or engineer at an early stage startupHave familiarity with, or interest in, model training pipelines and reinforcement learning.Have experience building AI applications, agents, or evaluation systems, and can reason clearly about model behavior in complex workflows.Are comfortable working directly with highly technical users and translating their challenges into concrete technical signals.Can move fluidly between prototyping, debugging, evaluation design, and cross-functional collaboration.Communicate clearly across technical and non-technical audiences.Bring high agency, strong product sense, and a bias toward building durable improvements rather than one-off fixesAbout 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.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. 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.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.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 the teamThe AI Deployment Engineering team works closely with frontier startups. We are trusted advisors to, and thought partners with, startups to ensure that OpenAI’s technology is deployed safely and effectively, whilst also partnering with engineering, research, and product to turn those insights into evaluation systems, product improvements, and better model behavior.This team sits at the intersection of customer reality and model quality. We combine hands-on technical depth with strong product judgment, helping translate complex, high-value use cases into clear signals that can improve both the customer experience and the underlying systems.This role is based in Munich. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. We require proficiency in German for this role.About the roleWe are seeking a technically proficient, product-minded engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, helping them optimize their own systems and turning those learnings into durable improvements across OpenAI’s research and products. You will partner deeply on complex workflows, identify the gaps that matter, and help transform those gaps into reproducible evaluations, technical insights - helping shape OpenAI's research and product direction.This role is well suited to engineers who are equally comfortable debugging a workflow, iterating on prompts or agents, designing evaluations, and collaborating across research and product. You should be excited by ambiguous, high-impact problems and motivated by the opportunity to shape how advanced AI systems improve in practice.In this role, you will:Work directly with strategic startup customers to understand critical workflows, uncover failure modes, and identify high-impact opportunities for improvement.Prototype and iterate on prompts, agents, and workflow designs to better understand system behavior and unlock customer value.Synthesize and deliver valuable feedback to the Product and Research teams, turning real usage patterns into clear, reproducible evals, benchmarks, and technical artifacts that improve model and product quality and ensure customer-grounded learnings influence roadmap and model development.Build repeatable tools, patterns, and evaluation approaches that raise the quality bar across multiple use cases.Operate with strong judgment in ambiguous environments, balancing immediate technical problem-solving with longer-term system improvement.Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community.You’ll thrive in this role if you:Have strong software engineering & AI fundamentals. For example, experience as a startup CTO, software engineer, ML engineer, Data Scientist or equivalent. Experience shipping production systems end-to-end is a strong plus.Have experience as a technical founder, or engineer at an early stage startupHave familiarity with, or interest in, model training pipelines and reinforcement learning.Have experience building AI applications, agents, or evaluation systems, and can reason clearly about model behavior in complex workflows.Are comfortable working directly with highly technical users and translating their challenges into concrete technical signals.Can move fluidly between prototyping, debugging, evaluation design, and cross-functional collaboration.Communicate clearly across technical and non-technical audiences.Bring high agency, strong product sense, and a bias toward building durable improvements rather than one-off fixesAbout 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.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. 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.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.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 WRITERWRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.📐 About the roleAs a deployment engineer at WRITER, you'll be at the forefront of expanding human capacity through superintelligence. This isn't just a technical role; it's a deeply influential one where you'll partner directly with our leading enterprise customers. Your expertise will be crucial in uncovering their unique business challenges and architecting AI-powered solutions that leverage our powerful platform and enterprise-grade LLMs. You'll transform complex needs into tangible, high-impact applications, creating champions and driving tangible business results. Your builder's mentality and passion for bringing cutting-edge AI into the hands of real users will directly shape the future of work for some of the world's largest companies.This is a critical role that directly impacts our customers' success and product evolution. You'll contribute significantly to WRITER's mission, working with a dynamic team to push the boundaries of what's possible with generative AI.This is a hybrid role based out of our San Francisco, Chicago, Austin, and New York City hubs.🦸🏻‍♀️ What you'll doPartner deeply with enterprise customers to identify strategic AI use cases, validating technical feasibility and owning the end-to-end implementation of tailored solutionsArchitect and deliver custom applications, templates, and integrations leveraging WRITER's platform, APIs, and Knowledge Graph capabilities to solve complex business challengesTranslate intricate technical concepts and platform capabilities into clear, prescriptive solution recommendations, guiding customers through the generative AI landscapeCollaborate relentlessly with internal Product and Engineering teams, providing crucial customer feedback that directly influences our product roadmap and drives continuous innovationDrive down customer time-to-value by developing scalable processes, robust documentation, and efficient workflows for technical integrationsChampion the successful adoption and expansion of WRITER's AI solutions within customer accounts, ensuring maximum impact and return on investment⭐️ What you needOver 5 years of hands-on experience in technical SaaS roles, with at least 3 years specifically in solutions architecture, technical consulting, or technical account managementDeep technical fluency in Python and extensive experience leveraging APIs, especially in designing sophisticated prompts and understanding linguistic principles for AI applicationsProven track record of architecting and delivering complex technical solutions for Fortune 500 enterprises in a fast-paced, high-growth B2B SaaS environmentExceptional communication and executive presence, capable of simplifying complex AI concepts for diverse audiences, from technical teams to C-suite leadershipA true builder's mindset with a passion for emerging technologies, always eager to experiment, learn, and iterate in the rapidly evolving world of generative AIA relentless drive to Connect with customers and internal teams, Challenge the status status quo with innovative solutions, and Own the successful outcomes for our most strategic accounts 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (16 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Wellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.