OpenAI is looking to scale its infrastructure for knowledge systems that evolve and learn alongside its products, systems, and customers. The goal is to build a model-powered knowledge system that can assist or automate operations supporting both internal and external customers, leveraging state-of-the-art AI technologies.
Requirements
- Proficiency in backend technologies. Our tech stack includes Python, FastAPI, and Postgres
- Experience designing and scaling distributed systems, APIs, or data processing pipelines
Responsibilities
- Design, build, and maintain backend services and APIs to support intelligent automation and knowledge systems
- Integrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows.
- Collaborate closely with product, research, and engineering teams to integrate OpenAI models into high-leverage workflows
- Own the full development lifecycle of new backend systems and internal platform capabilities
- Build with scale and maintainability in mind, while rapidly iterating on new ideas
Other
- 4+ years of backend engineering experience at product-driven companies (excluding internships)
- A pragmatic mindset. You’re comfortable shipping iteratively while building toward a long-term vision
- An interest in structured knowledge representation, internal search, agent infrastructure, or systems that evolve over time
- Curiosity about AI/ML and excitement to work alongside world-class research and product teams (hands-on experience is a bonus, not a must)
