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Applied AI Engineer, Codex Core Agent

AI / ML Engineer • Vor Ort • Vollzeit • 📍 San Francisco

As an Applied AI Engineer on the Codex Core Agent team, you'll improve agent performance on real software engineering tasks, turning research capability into dependable, measurable product functionality.

Stack

Responsibilities

  • Design and iterate on agent behaviors across real-world coding tasks and long-horizon workflows
  • Work closely with research to develop and run evals measuring agent performance, regressions, and failure modes
  • Improve performance through prompting, tool-use strategies, context construction, and model-facing experimentation
  • Analyze production failures and systematically improve robustness and reliability
  • Build feedback loops and data systems that get real-task data into evaluation and research
  • Work with product teams to shape user-facing agent experiences and the interfaces the agent depends on

Requirements

  • Experience building or shipping machine learning or LLM-powered products
  • Strong Python skills and comfort with modern ML tooling
  • Experience with model evaluation, fine-tuning, or prompt design
  • Thinking in terms of systems and user outcomes, not just model metrics

Nice to have

  • Experience with agent frameworks or tool-using LLM systems
  • Research experience with code generation models or developer tooling
  • Experience working with large, messy datasets or production logs

Soft skills

Enjoys debugging messy, real-world failures and turning them into improvementsWants to work in the layer that turns research and model potential into systems that actually work for users

About the company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. The company is an equal opportunity employer and does not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other legally protected characteristics.

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