AI Engineer Needed for LLM Applications, AI Agents, MCP, RAG, Backend APIs, and Deployment

We are looking for an experienced AI Engineer who can design, build, integrate, and deploy complete AI solutions using modern LLM and agentic AI technologies. The selected freelancer must be able to work across the full AI application stack. This includes AI agent development, autonomous workflows, multi agent systems, MCP server development, RAG pipelines, vector databases, conversational AI, backend API development, Docker deployment, and cloud deployment. The AI Engineer should have strong hands on experience with LangGraph, LangChain, MCP, Python, FastAPI, Docker, Docker Compose, REST APIs, vector databases, LLM APIs, prompt engineering, tool calling, memory management, context handling, Git, CI CD, and production deployment. The work involves building AI agents, chatbots, business automation tools, RAG knowledge systems, MCP servers, agent workflows, backend services, and integrations with external tools and business systems. We need someone who can understand the requirements, recommend the right technical architecture, build clean and scalable solutions, and deploy reliable AI applications ready for real business use. Please apply only if you have direct experience with AI agents, MCP, RAG, LangGraph, LangChain, Python backend development, Docker, and production AI application deployment.