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Software Engineer, API Agents

OpenAI · San Francisco

CHECKED 1H AGO

Frontier labonsitesenior$266k–$445k
Apply on the lab’s site ↗

At a glance

Highlights

  • Build shared agent harness powering long-running, high-value workflows.
  • Turn frontier models into systems that reliably complete real work.
  • Span search, memory, computer use and multi-agent coordination.

What they offer

  • Equity

Ideal candidate

A high-agency backend builder with 7+ years turning ambiguous ideas into reliable production systems, who pairs infrastructure depth with product judgment and cares about making agents useful and dependable.

Requirements

  • 7+ years of professional engineering experience, excluding internships, in relevant backend, infrastructure, platform, or product-driven engineering roles.
  • Exceptional backend engineering fundamentals and a track record of leading complex systems from ambiguous problem statements to reliable production services.
  • Proficiency in one or more backend languages such as Python, Go, Rust, TypeScript, or similar, with the ability to move comfortably across service, platform, and product boundaries.
  • Strong systems design and operational judgment across distributed systems, APIs, workflow orchestration, search or storage, compute and execution, identity and permissions, or observability and reliability.
  • Infrastructure depth paired with product judgment: you can abstract complex systems into simple, durable primitives that other engineers and developers can build on.
  • Strong developer empathy and communication skills, including experience partnering with users, research teams, and product engineers to make fast-moving capabilities useful and dependable.
  • High agency and comfort operating in a fast-moving environment, with strong ownership of security, reliability, and operational excellence.

Lab profile

About OpenAI

Builds safe frontier AI models and products like ChatGPT for broad benefit.

What they build

  • ChatGPT
  • OpenAI API
  • Frontier AI models

Known for

  • Frontier-scale distributed ML training
  • Massive GPU fleet and data center operations
  • Exabyte-scale data lakes and streaming
  • AI alignment and safety research

Key facts

  • Operates one of the world's largest GPU fleets
More about OpenAI →
Apply on the lab’s site ↗