AI Agents Infrastructure Engineer

OpenAI; San Francisco (CA); On-site; USD 230,000 - 385,000; Full time

Job summary

OpenAI in San Francisco is seeking an engineer to build the infrastructure powering Codex agents in production. The role involves designing execution environments, developing orchestration workflows, and optimizing system performance across distributed applications.

Ideal candidates will have experience in distributed systems and infrastructure engineering, with a focus on system reliability and performance. The role offers a chance to work at the intersection of developer tooling and AI, making a significant impact in the field.

Qualifications

• Strong experience in distributed systems or infrastructure engineering.
• Built systems involving containers, sandboxing, or virtualization.
• Comfortable working across backend systems, APIs, and developer tooling.
• Care about system reliability, performance, and security.
• Enjoy working on ambiguous, zero-to-one problems.

Responsibilities

• Design and build 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 that allow agents to persist context across long-running tasks.
• Optimize tokens, latency, reliability, and cost across Codex’s production fleet.
• Support model rollouts and capacity planning.

Skills

Distributed systems

Infrastructure engineering

Containers

Sandboxing

Virtualization

System reliability

Performance optimization

Security engineering

Developer tooling

Job description

OpenAI in San Francisco is seeking an engineer to build the infrastructure powering Codex agents in production. The role involves designing execution environments, developing orchestration workflows, and optimizing system performance across distributed applications.

Ideal candidates will have experience in distributed systems and infrastructure engineering, with a focus on system reliability and performance. The role offers a chance to work at the intersection of developer tooling and AI, making a significant impact in the field.