Context / Retrieval Engineer (RAG Specialist)

Title: Context/Retrieval EngineerJob Type: ContractContract Length: 12 MonthsPay Range: $50/hr – $175/hrStart Date: ASAPLocation: RemoteAbout The OpportunityOur client, a leader in AI testing and Generative AI solutions, is looking for a skilled Context/Retrieval Engineer (RAG Specialist) to join their team for a 12-month engagement. This project involves optimizing Retrieval-Augmented Generation (RAG) pipelines to improve the accuracy and relevance of AI responses. This is a high-impact role that requires a self-motivated professional who can hit the ground running and deliver results quickly.Key Responsibilities & DeliverablesThis role is focused on the successful completion of specific tasks and deliverables. Your responsibilities will include:Optimizing Retrieval-Augmented Generation (RAG) pipelines to improve the accuracy and relevance of AI responses.Implementing advanced "chunking" strategies and metadata tagging for enterprise documents.Selecting and fine-tuning embedding models to better capture domain-specific semantic meaning.Designing hybrid search systems combining vector similarity with traditional keyword search (BM25).Benchmarking various vector databases to ensure high retrieval speed and low memory overhead.Required Skills & Experience:We are looking for someone with a proven track record of successful contract engagements. The ideal candidate will have:3+ years of experience in Information Retrieval or AI Engineering.Deep expertise in Vector Databases (Pinecone, Chroma, Milvus) and LangChain/LlamaIndex. This isn't a learning role—you need to be a subject matter expert.Demonstrated ability to work autonomously and manage your own time effectively to meet project goals.Experience with Python, SQL, and natural language processing (NLP) techniques.Strong communication skills to provide clear and concise status updates to the project team.