Software Engineer, Developer Productivity, AI Tools
Build and standardize AI-powered coding tools, agents, and dev environments to accelerate internal software development while maintaining security and quality. Requires experience with productivity tooling for large codebases, container/CI platforms, and AI model APIs.
About the job
What You’ll Do
- Enable our researchers and engineers to leverage AI to improve coding productivity without compromising code quality
- Standardize AI coding tools, such as Claude Code, Cursor, and Codex. Help configure, harden, and maintain the best tools, integrating org-wide configurations with individual preferences.
- Build secure, reproducible agent sandboxes for remote dev & CI testing.
- Set up golden-path dev environments and guardrails for secrets/PII.
- Help individual contributors develop their personalized AI-enabled workflow.
- Track tool usage, reliability, and cost.
Skills and Qualifications
Minimum qualifications:
- Bachelor’s degree or equivalent industry experience in computer science, engineering, or similar.
- Experience developing productivity tools and best practices for large codebases.
- Ability to communicate clearly and work with researchers to build and manage a variety of internal tools.
Preferred qualifications:
- Hands-on experience with container platforms (e.g. Docker/Kubernetes), modern CI (GitHub Actions/Buildkite), and package management tools (uv).
- Practical experience with AI coding tools and model APIs (e.g. OSS via vLLM / SGLang / TGI).
- Solid Linux/networking fundamentals; comfort with secrets management and safe egress.
- Proficiency in systems programming languages (e.g. Rust) and scripting languages (e.g. Python).
Skills
Docker, Kubernetes, GitHub Actions, Buildkite, Uv, vLLM, Sglang, Tgi, Linux, Rust, Python, Ai Coding Tools, Secrets Management
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