AI Developer | AI Agent Engineer | LangGraph, RAG, LLM, MCP & Multi-Agent Systems

We are looking for a Senior AI Developer, AI Engineer and AI Agent Engineer for the first phase of a long-term Agentic AI project. The full project involves a production-ready AI Agent system with Long-Term Memory, RAG, LLM, Tool Calling, MCP and Multi-Agent Systems. For the initial $250 milestone, we need an experienced AI Agent Developer to review the requirements and design the technical architecture and implementation approach. The ideal specialist has hands-on experience with AI Agent Development, Generative AI, Machine Learning, LangGraph, LangChain, OpenAI, Claude, Python, FastAPI, Vector Databases and API Integration. Initial scope • Design scalable AI Architecture and Agentic AI workflows • Define LangGraph / LangChain orchestration and AI Agent roles • Plan Long-Term Memory, conversation context and Memory architecture • Design RAG / Enterprise RAG, Semantic Search and Vector Database retrieval • Map MCP, Tool Calling, API Integration and external tools • Define Multi-Agent Systems and Human-in-the-Loop logic • Recommend Prompt Engineering, Context Engineering and Structured Output • Plan Guardrails, retries, Error Handling, monitoring and evaluation Required skills • AI Developer / AI Engineer / AI Agent Developer • AI Agent Development / Agentic AI / AI Automation • LangGraph / LangChain / MCP • RAG / Enterprise RAG / LLM • OpenAI API / Claude API / AI Model Integration • Python / FastAPI / API Development / API Integration • Vector Databases / Semantic Search • Generative AI / Natural Language Processing • Prompt Engineering / Context Engineering • Multi-Agent Systems / Tool Calling / Long-Term Memory Experience with PostgreSQL, pgvector, Pinecone, Qdrant, Weaviate, Redis, Docker, AWS, Azure, Node.js, JavaScript, n8n and Workflow Automation is a strong advantage. Relevant backgrounds include LLM Engineer, RAG Developer, Enterprise RAG Developer, LangGraph Engineer, MCP Engineer, AI Orchestration Engineer, Python Developer, Software Engineer, AI Solutions Engineer, AI Solutions Architect and AI Integration Specialist. Initial deliverable A technical implementation plan covering AI Agent Architecture, LangGraph orchestration, Long-Term Memory, RAG, Vector Database, MCP integrations, Multi-Agent architecture, Human-in-the-Loop controls, evaluation and development phases. Successful completion can lead to larger milestones for AI Development, RAG implementation, AI Agent Development, API Integration, testing and production deployment. Please include one or two relevant examples of AI Agent, Agentic AI, RAG, LLM, LangGraph, MCP or Multi-Agent Systems you have built. Screening questions 1. What similar AI Agent or LangGraph system have you built? 2. How would you approach Long-Term Memory and RAG for this project? 3. Have you worked with MCP, Tool Calling or Multi-Agent Systems?