2 months ago
Base Salary
$293k - $385k/yr
Responsibilities
- Design, build, and ship developer-facing APIs and backend services serving frontier models.
- Architect low-latency streaming, request, session, and model integration systems for reliable multimodal interactions at scale.
- Partner with Research to bring new model capabilities into production and incorporate feedback from developers and customers.
- Own the availability, latency, scalability, and cost efficiency of services.
- Own projects from technical design and implementation through launch and ongoing iteration while raising engineering standards.
Requirements
- 7+ years of professional experience, excluding internships, in backend, infrastructure, platform, or product engineering roles.
- Track record designing, building, and operating production backend services, developer-facing APIs, or distributed systems.
- Strong software engineering and systems fundamentals, including experience leading technically complex projects from ambiguous ideas to production.
- Proficiency in one or more general-purpose backend languages such as Python, Go, Rust, or TypeScript.
- Experience with reliable, scalable systems and distributed architecture, concurrency, latency, observability, and operational tradeoffs.
- Product judgment and developer empathy, including the ability to turn complex model or infrastructure capabilities into clear APIs.
- Experience with real-time streaming, audio processing, speech systems, image generation, computer vision, or multimodal AI applications is helpful but not required.
Tech Stack
Categories
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.