About the role
About CodeRabbit CodeRabbit is an innovative research and development company focused on building extraordinarily productive human-machine collaboration systems. Our primary goal is to create the next generation of Gen AI-driven code reviewers: a symbiotic partnership between humans and advanced algorithms that significantly outperforms individual engineers. We combine language models with human ingenuity to push the boundaries of software development efficiency and quality. 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
