RAG Pipeline Developer

About the role

Responsibilities

• Design and build the end-to-end RAG pipeline
• Implement document chunking, embedding, and indexing strategies
• Integrate with OpenAI or Anthropic for generation
• Build an evaluation framework for retrieval and answer quality
• Document the system for internal engineering team

Requirements

• Experience building RAG systems with LlamaIndex or LangChain
• Familiarity with vector databases (Pinecone, Chroma, Qdrant, Weaviate)
• Strong Python and understanding of embedding models
• Able to evaluate retrieval quality and improve relevance
• Comfort working with unstructured data (PDFs, Word docs, Confluence)

Benefits

• Greenfield RAG project — your design decisions
• Remote
• Equity
• Learning budget
• Small, smart team

Keep exploring related roles

Use these topic pages to discover more roles in the same hiring cluster.