About the job
We’re looking for a Backend Software Engineer with experience working in ML/LLM-heavy domains to help to design and build an evals infrastructure that measures the quality of OpenAI’s support automation. This is a deeply technical and highly cross-functional role where you’ll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI. The role will especially focus on working closely with Data Science and Research partners to design and build evals at scale.
Responsibilities
Design eval pipelines that are reliable, reproducible, and extendable
Build the infrastructure for continuous eval monitoring frameworks (regression/drift monitoring, building robust golden datasets) along with feedback loops that ultimately strengthen support automation
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 data, 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
Qualifications
Minimum
4+ years of backend engineering experience at product-driven companies (excluding internships)
Proficiency in backend technologies. Our tech stack includes Python, FastAPI, and Postgres
Experience designing and scaling distributed systems, APIs, or data processing pipelines
Have experience building AI agents or applications, including designing evals and improving performance through prompting or scaffolding
Are familiar with evaluation methods for LLMs and have worked with patterns like multi-agent workflows, tool use, or long context.
Experience creating production evals and/or measuring performance of ML/LLM models at scale
Preferred
No preferred qualifications listed.