CodeRabbit
Senior Applied AI Engineer
$200K–$300K
San Francisco · Hybrid · Senior · Full-time · Posted Sep 18, 2025
- Experience
- 5+ years applying ML or LLM-based systems in real-world production environments, with at least 2 years of industry experience focused on generative AI.
- Education
- Degree in Computer Science, Engineering, Artificial Intelligence, or related field, or equivalent practical experience.
About the job
Designs, deploys, and improves generative AI systems and agentic workflows that power CodeRabbit’s code review and developer productivity tools.
What you'll do
- Build and optimize LLM-based code review systems, agentic workflows, and retrieval pipelines.
- Deploy production AI models and pipelines, monitor performance, and improve quality using feedback, usage data, RLHF, ranking, and reward modeling.
- Collaborate across teams to align AI systems with user needs and product goals.
What they ask for
- 5+ years applying ML or LLM-based systems in production, including at least 2 years of industry experience focused on generative AI.
- Strong programming skills in TypeScript and Python.
- Strong prompt engineering skills.
- Experience with AI tooling such as LangChain, LlamaIndex, OpenAI APIs, or vector databases like Pinecone or Lancedb.
Nice to have
- Experience optimizing RAG systems or using RLHF pipelines, reward modeling, or behavioral policy tuning.
- Experience integrating LLMs into developer tooling or collaborative workflows; open-source contributions or applied AI/ML publications.
Pay
$200K – $300K USD base salary
Tools
TypeScript, Python, LangChain, LlamaIndex, OpenAI APIs, Pinecone, Lancedb
AI focus
Builds generative AI systems for code review and developer productivity, including RAG, multi-step agentic reasoning, and techniques such as RLHF, ranking, and reward modeling.
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