AI Engineer Needed to Build a Production-Ready AI Assistant / RAG Chatbot

I’m looking for an experienced AI engineer to build an AI-powered assistant/chatbot for a business application. The goal is to build more than a basic ChatGPT wrapper. The assistant should be able to understand user questions, retrieve information from a knowledge base, maintain conversation context, and provide reliable answers. Scope may include ---------------------- - AI chatbot for web/application - RAG / knowledge-base implementation - Document ingestion and retrieval - OpenAI / Azure OpenAI integration - Embeddings and vector search - Azure AI Search or equivalent - Conversation history/context - Function/tool calling - External API integrations - Lead qualification or customer-support functionality - Structured AI responses - Basic guardrails and error handling Requirements ----------------- - Strong hands-on experience building AI assistants - Python experience - FastAPI or similar backend framework - OpenAI APIs / Azure OpenAI - RAG architecture - Vector databases or Azure AI Search - REST API integrations - Database experience - Docker - Understanding of LLM reliability, hallucination control and prompt engineering Relevant experience with: ------------------------------- - Azure OpenAI - Azure AI Search - Azure Cosmos DB - Azure Speech Services - FastAPI - OpenAI/Whisper - Production AI applications - AI lead qualification/chatbot systems - AI-powered business automation What I expect from you --------------------------- You should be able to review the requirements, recommend an appropriate architecture, and implement the solution—not simply wait for detailed coding instructions. Please include: ------------------ - 2–3 relevant AI assistant/RAG projects - Your role in those projects - Technologies used - Your recommended approach for this project - Estimated timeline - Fixed-price estimate