Generalist Engineer
Tabnam · San Francisco, CA
Work on a generalist engineering team building an AI code reviewer. Tackle hard problems such as LLM memory, multi-language codebase indexing and semantic search for large codebases, and ship full features end to end.
What you'll do
- Solve hard problems like LLM memory and multi-language codebase indexing
- Build semantic search for large codebases
- Design, implement, test and deploy full features
- Gather user feedback to iterate on features
Requirements
- B.S. Computer Science or equivalent degree, undergraduate or higher
- 1+ years of software or DevOps engineering experience
- Experience with JavaScript/TypeScript
- Comfortable working in the office every day
Skills
Outlined skills are listed as required.
Full original description
Generalist Engineer
Greptile is an AI code reviewer that catches bugs and anti-patterns in pull requests with complete context of the codebase. Hundreds of top software companies, from YC startups to big tech, and teams in finance, healthcare, and defense, use Greptile to merge PRs faster and catch more bugs.
Greptile reviews 5B lines of code every month for 22,000+ customers. A new repo starts using Greptile every 2 minutes. We also uniquely offer self-hosted, air-gapped deployments for enterprises across defense, financial services, and healthcare.
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 (in order of how much time you’ll likely spend on each)
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