Design execution environments for AI agents, including sandboxing, isolation, and reproducibility.
Develop systems for agent orchestration across multi-step tool-using workflows.
Build infrastructure for running, testing, and debugging code generated by models.
Create state and memory systems to persist context across long-running tasks.
Optimize tokens, latency, reliability, and cost across Codex production fleet.
Support model rollouts, capacity planning, and QoS tradeoffs at scale.

🎯 Requirements

Have strong experience in distributed systems or infrastructure engineering.
Have built systems involving containers, sandboxing, or virtualization.
Are comfortable working across backend systems, APIs, and developer tooling.
Care deeply about system reliability, performance, and security.
Enjoy working on ambiguous, zero-to-one problems.
Want to help build the systems that turn model capability into a dependable software engineering agent.

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