Full Stack Developer

What You'll Do8

• Write and curate code examples that train and benchmark large language models across the full stack.
• Review AI-generated code in Python and JavaScript (React, Node.js) for correctness, efficiency, and scalability.
• Extend evaluations into C/C++, Java, Rust, and Go where the model needs coverage.
• Build automated agents that check code quality and flag common error patterns in full-stack applications.
• Map out the software engineering cycle (prototyping, architecture, API design, production, launch, monitoring) and test model capabilities at each stage.
• Design verification mechanisms that confirm whether a generated solution actually works.
• Partner with researchers and cross-functional teams to align evaluations with industry performance benchmarks.
• Document clear, structured rationales for each evaluation decision.

Requirements6

• At least 3 years of software engineering experience.
• Strong background building full-stack applications with Python and JavaScript (React, Node.js), working across both backend and frontend codebases.
• Track record deploying scalable, production-grade software with modern languages and tools.
• Solid grasp of software architecture, design, debugging, and code review practices.
• Excellent written and oral communication skills for writing structured evaluation rationales.
• Must be based in the United States.

Preferred Qualifications2

• Experience at high-growth companies such as Stripe, Airbnb, Cloudflare, Datadog, or Coinbase.
• Degree from a strong CS program like University of Washington, UIUC, UT Austin, University of Michigan, or Purdue.

Who Should Apply

The role suits full-stack engineers with 3+ years of experience who have shipped production software in Python and JavaScript and want to shape how AI models learn to code. If you have worked at a fast-growing tech company or hold a strong CS degree, your background will stand out.