Applied AI Engineer: Real-World Codex Core Agent

OpenAI; Seattle (WA); On-site; USD 120,000 - 180,000; Full time

Job summary

OpenAI is seeking applied AI engineers to help bring Codex agents from impressive demos to dependable tools. This role focuses on improving agent performance on real software engineering tasks and closing the gap between research capability and real-world usefulness.

You’ll collaborate with research, infrastructure, and product to ensure agents are powerful, steerable, and reliable in practice, translating model improvements into measurable gains in solve rate, usefulness, and economic value for

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 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

Skills

Applied AI engineering

Evaluation design

Prompting

Tool-use strategies

Context construction

Model-facing experimentation

Reliability

Data systems

Job description

OpenAI is seeking applied AI engineers to help bring Codex agents from impressive demos to dependable tools. This role focuses on improving agent performance on real software engineering tasks and closing the gap between research capability and real-world usefulness.

You’ll collaborate with research, infrastructure, and product to ensure agents are powerful, steerable, and reliable in practice, translating model improvements into measurable gains in solve rate, usefulness, and economic value for