Generalist Engineer at Greptile

Join Greptile as a Generalist Engineer to build AI agents that autonomously review and test code for thousands of companies like Stripe and Brex. You'll work across the full stack on LLM memory and codebase indexing.

What You Will Do

• Design and implement full-stack features involving multi-language codebase indexing, semantic search, and agent-based code validation to catch complex bugs.
• Build AI systems using sample-efficient reinforcement learning to help agents learn a team's coding standards and increase signal-to-noise in PR feedback.
• Participate in daily in-office collaboration in San Francisco, rotating between high-velocity feature development and maintaining the robustness of the core system.

The Ideal Candidate

• Possesses strong CS foundations and at least 1+ years of experience shipping production-grade software in a fast-paced, high-growth environment.
• Demonstrates high proficiency in JavaScript/TypeScript and a generalist mindset, capable of picking up new tools or languages as technical challenges require.
• Thrives in the chaos of a startup, showing excitement for shifting priorities and the immediate impact of shipping code to thousands of developers.

Why This Role is Remarkable

• Work on a product already used by over 9,000 companies, including high-profile tech leaders like Stripe, Brex, and Substack, while reviewing 1B lines of code monthly.
• Join a small, elite engineering team of former Stripe, Google, and Figma engineers backed by top-tier investors like Benchmark and Paul Graham with $30M in funding.
• Engage in a unique "offense/defense" work cycle that balances deep-work feature sprints with system health, ensuring exposure to both building and scaling infrastructure.

The ideal candidate possesses strong CS foundations and at least 1+ years of experience shipping production-grade software in a fast-paced, high-growth environment. Demonstrates high proficiency in JavaScript/TypeScript and a generalist mindset, capable of picking up new tools or languages as technical challenges require. Thrives in the chaos of a startup, showing excitement for shifting priorities and the immediate impact of shipping code to thousands of developers.