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We are looking for an experienced Generative AI / LLM Engineer to enhance our existing multi-agent RAG pipeline built with agentic orchestration and GPT-5 models. The main goal is to improve multi-document embedding, retrieval accuracy, and agent workflow coordination. Responsibilities: Enhance and optimize the multi-agent RAG architecture Implement multi-document embedding and indexing Improve semantic search and context retrieval Optimize prompts and workflows for GPT-5 Integrate and tune vector databases Requirements: Strong experience with RAG systems Experience with LLMs and agent-based workflows Proficiency in Python Experience with vector databases (Pinecone, FAISS, Chroma, etc.) Nice to Have: Experience with LangChain / LlamaIndex Experience building multi-document AI systems P...