AI Engineer for Multi-Agent Orchestration

We are seeking an expert AI Engineer to develop a hierarchical multi-agent orchestration system. The role involves designing and implementing AI models using LangGraph, CrewAI, AutoGen, and the Microsoft Agent Framework. The ideal candidate will have experience with Python and Docker, and be able to integrate these technologies into a cohesive system. The project requires a high level of expertise and the ability to work independently. Title: AI Engineer — LangGraph, CrewAI, AutoGen, Microsoft Agent Framework, Multi-Agent Orchestration, Python, Docker Building a hierarchical multi-agent platform: C-Level agents (CEO, CMO, COO, CTO) orchestrate Area agents (Marketing, Sales, Ops, Tech), which delegate to Execution agents. Ideal candidate knows all three frameworks. If you specialise in one or two, please still apply and indicate which ones. Scope: - LangGraph: C-Level state graph, conditional routing, checkpointing, human-in-the-loop, model-agnostic (Ollama + external APIs) - CrewAI: minimum 2 crews (Marketing, Sales), 3 agents each, tool integration (RAG, CRM, Google Drive, WhatsApp) - AutoGen or Microsoft Agent Framework: C-Level deliberation, multi-turn consensus, integration with LangGraph - OpenTelemetry tracing, Redis job queues, all in Docker Deliverables: - LangGraph graph with 3 C-Level nodes and routing - 2 CrewAI crews with tool integrations - AutoGen deliberation integrated with LangGraph - Human-in-the-loop tested - API contract for RAG integration - Docker Compose and README Required: Python, at least one of LangGraph/CrewAI/AutoGen, LLM tool calling, Docker Timeline: 4-6 weeks, fixed price To apply: specify which frameworks you know, share one multi-agent example, and your price.