ABOUT THE ROLE

Turing is the world's leading research accelerator for frontier AI labs. The STEM Horizontal team produces the high-signal STEM data those labs train on, and this role builds the machinery behind it: the task-authoring tools, data pipelines, evaluation harnesses, sandboxed execution environments, and agentic workflows our researchers and domain experts work inside every day.

This sits at the seam between engineering and research. You'll own production systems end-to-end, and you'll be the person a researcher pulls in to ask why an eval is producing misleading numbers. Correctness and reproducibility are the product: a subtle bug here doesn't crash anything, it quietly poisons a training run and costs weeks. If you want to build systems that visibly shape how frontier models learn to reason about code and science, this is the seat.

WHAT YOU'LL DO

• Own services end-to-end: design, implementation, rollout, and production operation.
• Build backend services and the data pipelines that generate, validate, score, and version datasets, reproducible from a commit and a config.
• Ship data-dense internal interfaces: virtualised tables, server-side filtering, review and annotation UIs that stay fast at tens of thousands of rows.
• Build and operate agent harnesses, multi-step loops with tool use, retries, and structured output, running against real repos and test suites.
• Build sandboxed execution environments where model-generated code runs safely and deterministically at volume, and stand up the RL environments and eval harnesses on top.
• Trace and debug agent runs end-to-end: where the loop stalled, which tool call failed, why the grader disagreed with the human.
• Own infrastructure as code and CI/CD; debug production issues across the stack and drive the reliability work that follows.
• Raise the bar through code review, design docs, and innovation, partnering with researchers and quality owners on what “good” means.

TECH STACK

Backend   Python · FastAPI · Django / Django Ninja · PostgreSQL · MongoDB · REST + OpenAPI

Frontend   TypeScript · React · Next.js · virtualised tables, server-side filtering

Platform   Linux · Docker · Terraform · CI/CD · AWS or GCP

WHAT YOU NEED

• 6+ years building and operating production software, ideally at product companies with real scale.
• Deep Python with production FastAPI and/or Django, ORM performance, migrations, async patterns.
• Strong PostgreSQL (schema design, query optimisation, indexing) and NoSQL.
• Frontend production with TypeScript / React / Next.js.
• Fluent on Linux and Docker; Terraform or comparable IaC on AWS or GCP, and ownership of the CI/CD that ships it.
• Daily use of LLM coding tools (Claude Code, Cursor, Copilot) as part of how you actually ship, with the judgement to review their output critically and know where they break down. We are an AI-forward team; this is a must-have.
• You've built something on top of LLM APIs that other people depended on, an agent, a pipeline, an eval, and you know where it was fragile.
• Comfort with non-deterministic systems: you can tell a real regression from noise, and you reach for a controlled experiment over a hunch.
• Advanced Git and real testing discipline, unit, integration, and the negative and edge cases people skip.
• Clear written communication; comfortable working without hand-holding, and comfortable saying when a spec is wrong.

NICE TO HAVE

• Internal tools or developer platforms used daily by a technical team.
• Agent frameworks and protocols, LangGraph, MCP, OpenAI/Anthropic tool use.
• Sandboxing and untrusted code execution: gVisor, Firecracker, seccomp.
• Workflow orchestration (Temporal, Airflow, Prefect, Dagster) and Kubernetes beyond managed defaults.
• LLM coding benchmarks (SWE-bench, Terminal-Bench), eval frameworks, or exposure to RLHF / RLVR.

PREFERRED BACKGROUND

Bachelor's or Master's degree with 6+ years experience in Computer Science, Software Engineering, Data Science, Machine Learning, AI, or a programming-heavy IT field.

We weight demonstrated work outcomes most heavily, a strong track record without a matching degree is fine.