14 hours ago
Base Salary
$266k - $445k/yr
Responsibilities
- Design, build, and operate APIs and backend services that deliver frontier model capabilities to developers.
- Define API behavior and deliver safe, staged launches in partnership with Research, Safety, Codex, and API teams.
- Build agent workflow capabilities including task delegation, context sharing, and parallel execution.
- Improve reliability for long-running requests involving timeouts, cancellation, streaming, and background execution.
- Improve request-processing performance and tail latency through profiling, efficient systems code, and persistent connections.
- Use observability and production failure analysis to improve diagnostics and deliver durable product improvements.
Requirements
- 5+ years of experience building and operating backend services or developer-facing APIs in production.
- Strong software engineering fundamentals and practical knowledge of distributed systems, concurrency, and asynchronous execution.
- Ability to diagnose production failures and performance bottlenecks using observability data and profiling.
- Product judgment and developer empathy, with experience translating complex capabilities into clear, dependable APIs.
- Experience owning ambiguous technical problems from approach definition through shipping and improvement.
- Clear communication and effective collaboration across engineering, research, product, and safety disciplines.
- Experience with Rust, streaming protocols or WebSockets, or long-running workflow systems is a plus.
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.