# Applied AI Engineer
**Company:** [CodeRabbit](https://hotfix.jobs/companies/coderabbit)
**Location:** San Francisco, CA
**Salary:** $175K-$275K
**Experience:** 3+ years
**Skills:** Python, TypeScript, LangChain, Llamaindex, Openai Apis, Pinecone, Lancedb, Prompt Engineering, RLHF, RAG
**Posted:** 2025-09-18
> Designs, builds, and deploys generative AI systems including LLM-based code reviews, agentic workflows, and RAG pipelines for developer productivity tools. Requires 3+ years in ML/LLM production systems, Python/TypeScript proficiency, and AI frameworks like LangChain.
## Job Description
## 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
- Degree in Computer Science, Engineering, Artificial Intelligence, or related field, or equivalent practical experience
- **3+ years** applying ML or LLM-based systems in real-world production environments, with at least **2 years** of industry experience focused on generative AI
- Strong programming skills in **TypeScript** and **Python**
- AI Frameworks: Experience with tooling such as **LangChain**, **LlamaIndex**, **OpenAI APIs**, or vector databases like **Pinecone** or **Lancedb**
- Strong skills in **prompt engineering**
- Ability to extract insight from telemetry, logs, user signals, and structured feedback
- Comfortable applying research-inspired methods to solve concrete product challenges
- Experience working across product, engineering, and design to deliver production-grade systems

## Bonus Points
- 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

## Compensation
Base pay range: **$200k-275k** (actual salary based on job-related skills, experience, and location). Strong salary, equity, and benefits package.
**Apply:** https://hotfix.jobs/jobs/applied-ai-engineer-at-coderabbit-ce42b799-a95a-434c-83c8-56930a090fea
**Canonical:** https://hotfix.jobs/jobs/applied-ai-engineer-at-coderabbit-ce42b799-a95a-434c-83c8-56930a090fea