Applied AI Engineer, Codex Core Agent

OpenAI
San Francisco, Seattle, New York, London
Workplace: OnsiteFull timeUSD 230,000 - 325,000 annuallyFunction: Data Science & Machine LearningSkills: ["Python","Machine learning","Prompt design","Evals","Data systems"]

Join the Codex Core Agent team to turn research into reliable, user-focused AI agents that assist developers. You’ll design agent behaviors for real-world coding tasks, collaborate with research and product, run evaluations, improve prompts and tool use, and build data systems to feed better models. You’ll help define what ‘good’ looks like for end-to-end tasks and drive measurable improvements in usefulness and efficiency.

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FursaFursa
OpenAI
OpenAI
5 months ago

Applied AI Engineer, Codex Core Agent

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Join the Codex Core Agent team to turn research into reliable, user-focused AI agents that assist developers. You’ll design agent behaviors for real-world coding tasks, collaborate with research and product, run evaluations, improve prompts and tool use, and build data systems to feed better models. You’ll help define what ‘good’ looks like for end-to-end tasks and drive measurable improvements in usefulness and efficiency.
Location: San Francisco, Seattle, New York, London
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key 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.

Pay and Benefits

Salary: USD 230,000 - 325,000 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •Proficient in Python and comfortable with modern ML tooling; experience shipping machine learning or LLM-powered products.
  • •Strong experience with model evaluation, fine-tuning, or prompt design.
  • •Familiarity with building data systems or tooling to collect real-task data for evaluation.
  • •Ability to reason about systems and user outcomes, not just model metrics, and to debug real-world failures.
  • •Experience with handling large datasets or production logs.
Experience:AIMachine learningSoftware engineering
Skills:PythonMachine learningPrompt designEvalsData systems
Languages:English
Tech Stack:PythonLLMML toolingEvaluationPrompt design

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
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