Applied AI Engineer, Codex Core Agent
About the Team The Codex Core Agent team builds the kernel of Codex. We own making the agent better, accelerating research, and making those improvements real in production for our users.
What this role actually needs.
Applied AI Engineer, Codex Core Agent at OpenAI in San Francisco. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. About the Team The Codex Core Agent team builds the kernel of Codex. We own making the agent better, accelerating research, and making those improvements real in production for our users.
Day-to-day expectations
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- Design and iterate on agent behaviors across real-world coding tasks and long-horizon workflows.
- Work closely with research to develop and run evals to measure agent performance, regressions, failure modes, and edge cases.
- Improve performance through prompting, tool-use strategies, context construction, and model-facing experimentation.
- Analyze failures in production and systematically improve robustness and reliability.
- Build feedback loops and data systems that get better real-task data into evaluation and research.
- Work with product teams to shape user-facing agent experiences and the interfaces the agent depends on.
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Next moves
- Tailor your resume around ai and llm instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to applied ai engineer, codex core agent is a high-signal on-site role in san francisco, and it is most realistic for united states residents.
- Open the role quickly if it fits and bookmark three similar jobs before you leave the page.
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- $230K - $385K is visible, so calibrate your application around the posted range.
- Use united states residents as part of your positioning so the recruiter does not have to infer it.
- Show concrete examples of succeeding in on-site environments.
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