CodeRabbit
Senior Applied AI Engineer
San Francisco · Senior
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odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$21,187 more — $221,187 — moves this role to Level IV and 4 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $221,187 would place this position at wage Level IV. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- 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.
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)
- Collaborate across teams to ensure that AI outputs align with user needs and product goals
Requirements
- AI Frameworks: Experience with tooling such as LangChain, LlamaIndex, OpenAI APIs, or vector databases like Pinecone or Lancedb
- Data Fluency: Ability to extract insight from telemetry, logs, user signals, and structured feedback
- Degree in Computer Science, Engineering, Artificial Intelligence, or related field, or equivalent practical experience
Skills
- Experience optimizing RAG systems and tuning retrieval performance using custom embeddings or search strategies
- Hands-on experience with RLHF pipelines, reward modeling, or behavioral policy tuning in LLMs
- Experience integrating LLM systems into developer tooling or collaborative workflows
- Track record of contributions to open-source projects or publications in applied AI/ML
- 🤝 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
- Strong programming skills in TypeScript and Python
Compensation
- $200k-$275k
Benefits
- Education: Degree in Computer Science, Engineering, Artificial Intelligence, or related field, or equivalent practical experience
Company info
- ABOUT CODERABBIT CodeRabbit is the leading AI code review platform, trusted by more than 17,000 customers and 150,000 open-source projects, conducting over 2 million code reviews each week.
- 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.
- CodeRabbit is the leading AI code review platform, trusted by more than 17,000 customers and 150,000 open-source projects, conducting over 2 million code reviews each week.
This listing is sourced directly from CodeRabbit's careers page and normalized into a canonical job model.