Senior MERN Stack Developer for AI Customer Support Chatbot with RAG Integration

We are seeking an experienced MERN Stack Developer to build a modern web application featuring an AI-powered customer support chatbot with Retrieval-Augmented Generation (RAG) capabilities. The goal is to create an intelligent support system that can answer customer questions, retrieve information from our knowledge base, provide accurate responses, and reduce manual support workload. Required Technologies: MongoDB Express.js React.js Node.js OpenAI API / LLM Integration RAG Architecture Vector Databases (Pinecone, Weaviate, Qdrant, Chroma, or similar) REST APIs Authentication & User Management Cloud Deployment (AWS, Azure, GCP, or similar) Project Requirements: Develop a complete MERN Stack application Build an AI-powered customer support chatbot Implement RAG functionality for accurate knowledge retrieval Upload and index documents, PDFs, FAQs, and knowledge base content Create semantic search and vector embedding workflows Maintain conversation history and context Support multilingual responses Build an admin dashboard for managing knowledge sources Create analytics and reporting for chatbot performance Implement role-based access controls Ensure scalability, security, and performance optimization Key Features: Real-time AI chat interface Human-like customer support responses Knowledge base integration Document ingestion and processing Conversation memory Lead capture and customer data collection Ticket creation and escalation workflows Chat history management API integrations with third-party platforms Ideal Candidate: Strong MERN Stack development experience Proven experience building AI applications and chatbots Experience with OpenAI, Anthropic, Gemini, or similar LLMs Hands-on experience with RAG systems and vector databases Experience deploying production-grade applications Strong understanding of AI security and performance optimization To Apply: Please provide: Examples of MERN applications you have built. AI chatbot or RAG projects you have completed. Your preferred vector database and why. Suggested architecture for this project. Estimated timeline and budget. We are looking for a developer who can build a scalable, production-ready AI customer support platform and potentially work with us on future AI projects.