AI Systems Engineer, Codex Agents

Highlights

• Build the core agent harness turning model capability into real-world action.
• Own sandboxing and orchestration for agents in live dev environments.
• Partner with research to make harness trainable and measurable.

What they offer

• Offers Equity

Ideal candidate

Agent-systems builder who thrives across low-level systems and ML workflows and cares deeply about reliability, safety, and debuggability. Moves quickly from ambiguous production failures to durable fixes while shipping close to research.

Requirements

• Built or operated production systems in distributed systems, infrastructure, developer tooling, or ML systems
• Hands-on experience with LLM applications, coding agents, evals, model deployment, or developer platforms
• Care deeply about reliability, safety, performance, debuggability, and clean abstractions
• Can debug from evidence and move from ambiguous failures to durable fixes
• Want to work close to research while shipping to production
• Write meaningful code with strong ownership and can lead scoped AI systems work