Turing lists a remote Software Engineer position to build infrastructure that AI labs use to evaluate coding agents and language models. The role involves designing end-to-end features, improving evaluation systems, and ensuring system performance. What you will do • Design and ship features end to end across data models, APIs, and UIs. • Build and improve how agents and models are evaluated and scored at scale. • Improve benchmark task quality-checking using verifiers and grading. • Integrate new models, agents, and benchmarks that generalize well. • Keep the system fast and reliable as usage grows with efficient queries. • Review teammates’ pull requests against engineering guidelines. What they ask for • 5+ years building and operating production backend systems. • Bachelor’s degree or higher in Software Engineering, Computer Science or related. • Strong Python and experience with Django, PostgreSQL, and Celery. • Hands-on experience in LLM evaluation beyond calling a model API. • Judgment about task quality and spotting ambiguous instructions. • Comfort with a TypeScript and React frontend when changes are visible. • Clear writing skills for pull request descriptions and design notes.