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.
As a Software Engineer at CodeRabbit, you'll be contributing to the development of advanced applied AI systems that revolutionize code review processes. You'll work at the intersection of intelligent systems and software engineering, creating tools that empower developers to iterate rapidly in complex environments. Your expertise will be crucial in developing solutions that enhance code quality, scalability, and developer productivity.
You’ll help architect and build core backend systems — the infrastructure that powers our AI agent workflows, context-enriched code reviews, repo-level planning tools, and dashboard interfaces. You’ll work alongside AI researchers, infra specialists, frontend engineers, and product thinkers to build reliable, intelligent backend systems that power our developer tools at scale.
Architect and build scalable backend services, APIs, and distributed systems
Collaborate with ML engineers to integrate models into agent-based systems and AI products involving autonomous or task-driven agents
Guide junior engineers through mentorship and technical reviews
Own architectural decisions in new product features
Ensure reliability, performance, and security across systems
Contribute to an engineering culture of speed, quality, and pragmatic innovation
Education: Degree in Computer Science, Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experience
Experience: 3 - 5 years of experience building backend systems and distributed infrastructure
Technical Expertise: Fluency in TypeScript and Node.js, or a similar modern backend stack; experience with microservices, async job queues, and event-driven architectures
Systems Thinking: Familiarity with cloud platforms (AWS/GCP), containerization (Docker/Kubernetes), CI/CD pipelines, devops tooling, runtime infrastructure, and production observability
Engineering Craft: Strong understanding of software engineering best practices, including testing, code reviews, and version control workflows
Product Mindset: Thoughtful about trade-offs, user experience, and fast iteration
Team Leadership: Willing to mentor, lead by example, and influence technical direction without being a pure manager
Experience with code search, code graphs, tree-sitter, or static analysis tools, and an understanding of how to apply them in real-world engineering environments
Experience integrating AI/LLM-based systems into product workflows
Contributions to open-source or community projects
Experience designing or implementing agent-based systems or AI products involving autonomous or task-driven agents
Build the Future: We’re redefining code review with AI. You’ll help shape a new development paradigm with cutting-edge technology that has real-world impact.
Real Ownership: Every engineer at CodeRabbit owns projects end-to-end — from proposal to production.
Collaborative & Innovative Environment: Join a tight-knit team of engineers, designers, and researchers who are passionate about building transformative products.
Professional Growth: We invest in our people — through mentorship, responsibility, and development opportunities.
Competitive Compensation: We offer a strong salary, equity, and benefits package.
Hybrid Work Culture: We collaborate in person in the Bay Area weekly, with flexibility for heads-down remote work.
🤝 Collaborative Humans: Prioritizing collective intelligence
🚀 Fearless Innovators: Turning obstacles into growth opportunities
💪 Persistent, Passionate Developers: Thriving on complex, long-term challenges
🎯 Impact-Driven Creators: Crafting intuitive tools for developers
🧠 Rapid Learners and Un-learners: Adapting quickly in our fast-paced technological world
Apply Now — If you're excited to build tools that blend intelligent systems with world-class software engineering, we'd love to meet you.
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