Applied AI 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 an Applied Gen AI Engineer at CodeRabbit, you'll play a central role in designing, building, and deploying advanced generative AI systems that power our code review and developer productivity tools. You’ll be responsible for bringing the latest advancements in generative AI to life — integrating techniques like RAG, RLHF, and multi-step agentic reasoning into high-impact product workflows.

You’ll collaborate with engineers, product managers, and technical leads to iterate on intelligent systems that deliver real-world value, improving how developers write, review, and ship code.

RESPONSIBILITIES

- Design and optimize LLM-based systems for high-quality, context-rich code reviews

- Build and refine agentic workflows that reason across multiple steps and contexts

- Develop and maintain knowledge base and retrieval pipelines (e.g., chunking, embeddings, semantic search)

- Deploy generative AI models and pipelines into production and monitor performance

- Collaborate across teams to ensure that AI outputs align with user needs and product goals

- Analyze human-in-the-loop feedback and usage data to iteratively improve system performance

- Apply RLHF, ranking, and reward modeling techniques to improve response quality over time

- Stay current with the latest generative AI developments and apply them to new use cases

QUALIFICATIONS

- Education: Degree in Computer Science, Engineering, Artificial Intelligence, or related field, or equivalent practical exper...