RAG Pipeline Engineer Needed to Diagnose Retrieval Issues and Improve Answer Reliability

Budget: $300.0
Contract: FIXED
Client: USA
Live feed: Upwork

python

Preferred qualifications

Experience: Expert

We're building an AI document assistant where users upload internal documents and ask questions in natural language. Ingestion, vector search, and LLM answer generation already work, but results are inconsistent: some queries return loosely related passages, miss key details, or produce answers the documents don't support. We need an experienced Python/RAG engineer to find out why and make targeted improvements. This is a reliability project, not a chatbot build or rewrite. We're staying within the existing architecture. Stack: Python, LangChain/LangGraph, a vector database, LLM API integration

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