Senior Full Stack Engineer

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 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. This opportunity will be energizing for people who want real ownership, pace, and high standards. It’s uncomfortable for people who prefer slow consensus or heavily managed workflows. If you want to build tools that are changing how software gets written, and be held to the standard that the best engineers thrive under; we’d love to talk. Our Values Collaborative Humans: We build together, not in silos Fearless Innovators: We explore bold ideas and iterate quickly Persistent Builders: We embrace hard problems and see them through Impact-Driven: We focus on tools that meaningfully improve developer workflows Adaptive Learners: We evolve with the technology we’re shaping

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