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Senior AI/RAG & Document Knowledge Base Developer Needed -Long term-Full-Time - No Agencies

Rozpočet: $5.0 - $20.0 HOURLY / FULL_TIME ⭐ 4.93 (2) United States

natural-language-processing, machine-learning, python, artificial-intelligence, data-extraction, database-design

We are looking for a senior individual developer with real experience building AI/RAG systems and document knowledge bases. No agencies, please. We are only looking for an experienced developer who can work directly with us and take full ownership of the project. If it is discovered that you are an agency while the work is in progress, it will be stopped immediately. This project involves building a structured document database that can be used by AI to retrieve relevant information and support reliable first-draft generation. The work will involve organizing PDF, Word, and other document files into a clean knowledge base with proper metadata, classification, and secure handling of confidential information. Required experience: * AI/RAG system development * Document knowledge base development * Document database design * PDF and Word document processing * Metadata tagging and document classification * Vector search / semantic search * Secure handling of confidential documents * AI-assisted drafting or document retrieval workflows Experience with OpenAI, Claude, LangChain, LlamaIndex, Pinecone, Weaviate, Chroma, Supabase Vector, PostgreSQL/pgvector, or similar tools is a strong plus. This is not a simple chatbot, data-entry, or basic automation project. We need someone who has actually built document-based AI/RAG systems before and understands how to structure documents so AI can retrieve the right information accurately. Please do not apply if you only have general AI API experience or basic chatbot experience. We are looking for someone with direct experience in document knowledge bases, RAG, metadata structure, and document retrieval. When applying, please answer these questions: 1. Have you personally built a document-based AI/RAG knowledge base before? 2. What tools, vector database, or architecture did you use? 3. How did you process PDF, Word, or other document files? 4. How did you handle metadata, document classification, and secure access? 5. Can you share one specific example of a similar project? If you are confident that you have the required experience, we are ready to start immediately.
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