Software Engineer

• 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, * 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.

• Education: Degree in Computer Science, Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experience
• Experience: 5+ years building backend systems and distributed infrastructure
• Technical Expertise: Fluency in TypeScript and Node.js, or a similar modern backend stack; experience with micro services, 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

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.