Description
The role focuses on building multi-step, tool-using AI agents that plan, retrieve, act, and verify. Responsibilities include designing agent architectures, integrating functions, APIs, databases, and MCP-style interfaces, combining RAG with agents, adding execution guardrails, and evaluating reliability, autonomy, recovery, and cost. The posting requires production experience with LangChain or CrewAI, strong Python engineering, RAG and vector-database skills, systems-thinking capabilities, and security and safety practices for agents.
