Senior AI Application Developer - LLM Integrations, AI Agents, AI Chatbots

We are looking for an AI developer to build a lightweight AI chatbot that can answer user questions based on uploaded documents and a predefined knowledge base. The goal is to create a simple working MVP using existing LLM APIs and RAG technology. Scope of Work Integrate OpenAI API or Anthropic API. Build a simple conversational AI chatbot. Implement a basic RAG pipeline for document-based question answering. Support PDF and TXT document uploads. Generate embeddings and store them in a vector database. Implement semantic search and context-aware responses. Display relevant sources in chatbot answers. Preferred Tech Stack OpenAI API / Anthropic API Vercel AI SDK / LangChain Supabase pgvector / Pinecone / Qdrant React / Next.js TypeScript or Python Requirements Proven experience with LLM integrations. Hands-on experience building AI chatbots and RAG systems. Knowledge of embeddings and vector databases. Ability to deliver clean, working code independently. How to Apply Please share examples of AI chatbots or RAG applications you have built, your preferred technology stack, and your estimated delivery time.