AI Deployment Engineer, Startups

We 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.

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.
• Create technical presentations, demos, and other forms of community engagement with top developers and startups around the region.

You’ll thrive in this role if you:

• Have strong software engineering & AI fundamentals. For example, experience as a software engineer, ML engineer, Data Scientist or equivalent. Experience shipping production systems end-to-end is a strong plus.
• Have 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 fixes
• Enjoy having some days where you engage in community events and present to large audiences, and other days where you go deep on specific customer problems.
• Speak multiple languages: Strong proficiency in English is required. Additional proficiency in Mandarin, Korean, and/or Japanese is a nice to have.