Applied AI Engineer, Codex Core Agent
Core
Designing and iterating agent behaviors for real-world software engineering tasks to improve solve rates and economic value.
Role type
Applied AI Engineer (LLM Agents)
Builds
Dependable agent tools for software engineering workflows
Domain
AI Research / Software Engineering / LLM Systems
Deliverable
production ML models
Required skills
Python, LLM-powered product development, model evaluation, fine-tuning, prompt design, tool-use strategies, context construction, debugging production failures
Preferred skills
Agent frameworks, tool-using LLM systems, code generation models, large dataset handling, production log analysis
Technologies
Python, modern ML tooling
Responsibilities
Design and iterate on agent behaviors across real-world coding tasks and long-horizon workflows; 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
Seniority
Mid-Senior, hands-on IC
