Greptile seeks design engineer as AI code review tool surpasses 1,000 software teams

Greptile is rapidly expanding its AI-powered developer productivity tools that work with large codebases, seeking a design engineer to join their small but growing team in San Francisco. Their flagship product, an AI code review bot, has attracted over 1,000 software teams including notable companies like Raycast and PostHog. This job opening highlights the increasing demand for specialized AI tools in software development and the competitive market for technical talent who can blend strong programming skills with design expertise.

Company trajectory: Greptile has secured $5.3 million in funding from prominent investors including Y Combinator, Initialized Capital, and Paul Graham.

• The company is experiencing significant growth at 20-30% monthly while maintaining minimal burn rate.
• Founded in 2023, Greptile has expanded to a team of 5-6 people and now serves over 1,000 software teams as of March 2025.
• Their core product positions itself as “an AI expert on any codebase,” available as an API that companies use to build internal tools like PR review bots and documentation updaters.

Key qualifications: The position requires a combination of technical programming skills and design capabilities, with an emphasis on in-person collaboration.

• Candidates must have strong programming skills in TypeScript/JavaScript, UI/UX design experience, and a computer science degree.
• Greptile specifically prefers NextJS experience, open-source contributions, and passion for developer tooling.
• The company requires US work authorization and willingness to relocate to San Francisco, underscoring their commitment to in-person collaboration.

Tech environment: Greptile has built their platform on modern web technologies optimized for AI-powered developer tools.

• Their codebase is written in TypeScript with a NextJS frontend.
• The backend infrastructure runs on AWS using ECS containers and Lambda functions.
• Data storage utilizes both Postgres and DynamoDB databases, suggesting a hybrid approach based on different data needs.

Interview process: Candidates will progress through a multi-stage evaluation focused on both technical skills and cultural fit.

• The process begins with a review of the candidate’s GitHub, projects, and past work.
• After an introductory Zoom call, candidates complete a take-home technical interview.
• Final candidates participate in an on-site interview in San Francisco, with expenses covered by the company.