Description
Project Overview We are looking for a specialized Agentic AI Engineer to architect and build an autonomous, multi-agent workflow system. We are moving beyond simple LLM wrappers and need a stateful orchestration system where multiple specialized AI agents can plan, collaborate, and execute complex logic independently. Key Responsibilities: ● Design and implement a robust multi-agent architecture using LangGraph. ● Build out specific agent nodes capable of tool-calling, data synthesis, and autonomous task execution based on our business logic. ● Develop a secure, high-performance backend infrastructure using Python and FastAPI to serve the agentic workflows. ● Ensure the system is highly reliable, deterministic, and scalable within a Linux/Ubuntu environment. ● (Optional but preferred) Connect the backend logic to a cross-platform frontend interface using Flutter. Required Skills: ● Deep understanding of multi-agent frameworks (LangGraph, AutoGen, or similar). ● Advanced prompt engineering (Chain-of-Thought, ReAct frameworks). ● Strong backend engineering experience with Python and FastAPI. ● Proven ability to deploy and manage AI systems on Linux architectures. ● Familiarity with standard APIs and integrating external tools into LLM workflows.