About CodeRabbit

CodeRabbit is the governance and control layer for agentic software development, helping engineering teams trust the code they ship. AI can generate code faster than people can review and understand it. Teams still need to know whether each change solves the right problem, fits their architecture, and is safe to ship.

We provide independent validation grounded in codebase context and team standards, giving people the evidence they need to judge what should ship. Across Review, Triage, Explain, and Secure, our platform challenges changes before merge, prioritizes pull requests by value, impact, and risk, explains what changed and why it matters, and monitors the codebase for security vulnerabilities after merge.

CodeRabbit serves nearly 20,000 customers and supports approximately 300,000 open-source repositories, performing over 2 million code reviews each week. Our $143M Series C, raised at a $1.5B valuation, supports further product development and international expansion.

Role Overview

As a Full Stack Engineer at CodeRabbit, you’ll build end-to-end systems that power intelligent code review and developer workflows. Working across frontend, backend, and infrastructure, you’ll help create seamless, context-aware experiences that bring AI directly into the developer loop.

You’ll design and ship features that span from intuitive interfaces to scalable backend services, enabling developers to move faster, understand their codebases more deeply, and collaborate more effectively. You’ll partner closely with AI researchers, product thinkers, and infra engineers to turn complex ideas into polished, production-ready systems.

Responsibilities

Design and build full stack features across frontend, backend, and infrastructure

Develop scalable APIs and services that support AI-driven workflows

Create intuitive, high-performance user interfaces for developer tools

Collaborate with ML engineers to integrate AI models into product experiences

Own projects end-to-end, from concept through deployment and iteration

Ensure performance, reliability, and maintainability across the stack

Contribute to engineering culture through code reviews, design discussions, and mentorship

Qualifications

Education: Degree in Computer Science, Engineering, or related field, or equivalent practical experience

Experience: 7+ years building full stack applications in production environments

Frontend: Proficiency in React, TypeScript, and modern web development practices

Backend: Strong experience with Node.js (or similar), APIs, and distributed systems

Systems Thinking: Familiarity with cloud infrastructure (AWS/GCP), containers, CI/CD, and observability

Engineering Craft: Strong fundamentals in testing, code quality, and version control

Product Mindset: Care for user experience, iteration speed, and pragmatic decision-making

AI Dev tool Fluency: Must have strong experience using development tools like Cursor, Claude Code, or Codex and strong familiarity with various models and where these systems work and don’t

Bonus Points

Experience building developer tools or working with code-centric systems

Familiarity with LLMs or integrating AI into product workflows

Experience with real-time systems, collaborative tools, or rich editors

Contributions to open source or technical communities

Why Join Our Engineering Culture?

CodeRabbit is building the next generation of AI-native developer tooling — starting with code review. We combine large language models with deep software engineering context to help teams ship faster, catch more bugs, and make better architectural decisions at scale.

We are a high-ownership engineering culture. That means no passive execution, no waiting for perfect tickets, and no narrowly defined task boundaries. Engineers here find problems before they're assigned, use AI as a core part of how they build, ship with judgment, and own outcomes from proposal to production.

Our operating philosophy: bias toward action, ship the smallest necessary coherent slice, validate proportional to risk, watch what happens, and make the system better. AI drafts; humans decide. Speed matters, but so does understanding what you ship.