Full-Stack MERN Developer with AI/LLM Integration

We are looking for a skilled Full-Stack Developer proficient in the MERN stack (MongoDB, Express.js, React, Node.js) who also has hands-on experience integrating AI models and APIs into production web applications. ### 🎯 Key Responsibilities: - Build and maintain responsive UI components in React. - Design scalable backend APIs using Node.js & Express to communicate with LLMs (e.g., OpenAI, Anthropic Claude, or open-source models). - Set up efficient data storage & retrieval using MongoDB alongside Vector Databases (e.g., Pinecone, Qdrant, ChromaDB, or MongoDB Atlas Vector Search) for RAG applications. - Manage stream responses, rate limiting, and token optimizations for smooth UX. - Ensure clean, maintainable architecture and secure authentication. ### 🛠️ Required Technical Skills: - MERN Stack: MongoDB, Express.js, React, Node.js (JavaScript/TypeScript) - AI & LLM Tools: OpenAI API, LangChain / LlamaIndex, Claude API, or custom AI pipelines - Databases: MongoDB + Vector Search / Pinecone / Weaviate - State & Async Handling: WebSockets, Server-Sent Events (SSE) for streaming text, RESTful APIs ### 📋 To Apply, Please Include: 1. Links to 1–2 live projects or GitHub repos where you integrated AI with a full-stack JS web application. 2. What AI framework or vector database you prefer for RAG/chat implementations and why. 3. Your availability (hours/week) and time zone.