Generalist Engineer

Problems We’re Excited About

• Coding standards can be idiosyncratic and are often poorly documented; can we build agents that learn them through osmosis like a new hire might?
• Can we identify for each customer what types of PR feedback they do and don’t care about, perhaps using some sample efficient RL, in order to increase signal-to-noise ratio?
• Some bugs are best caught by running the code, potentially against discerning AI-generated E2E tests. Can we autonomously deploy feature branches and use agents to parallel try to break the application to detect bugs?

Trajectory

• 22,000+ customers
• 5B lines of code reviewed every month
• Scaled from $0 to eight figures in ARR
• Raised $30M from Benchmark, Y Combinator, Paul Graham, and Initialized

Team

• We have assembled a small, talent dense team who have scaled critical functions at companies like Stripe, Google, Figma, etc.

Responsibilities

• Solve some of our hardest and most interesting problems, including LLM memory, multi-language codebase indexing, semantic search for large codebases, and much more.
• Design, implement, test, and deploy full features
• Get user feedback to iterate the features

Qualifications

• B.S. Computer Science or equivalent degree, undergraduate or higher
• 1+ years of software or DevOps engineering experience
• Experience with JavaScript/TypeScript

You Will Like This Role If

• You want to work on a product that thousands of developers rely on
• The chaos of high growth and things breaking is exciting to you
• You like being in an office every day around other smart people who are excited about what they’re building
• You love solving very hard problems.
• You specifically prefer working in-person over working remote