Role Overview
As an AI Engineer, you will be responsible for the end-to-end development of agentic AI applications that move beyond simple chatbots into autonomous, goal-oriented systems. You will design 'reasoning loops,' integrate specialized tools, and build the automated evaluation pipelines (AgentOps) necessary to ensure these systems are reliable, safe, and performant in production.
Key Responsibilities
●
Agent Architecture: Design and implement multi-agent workflows using frameworks such as LangGraph, CrewAI, or AutoGen (AG2) to solve complex, multi-step business problems.
●
Tool & API Integration: Build secure interfaces that allow agents to interact with external data environments (e.g., Snowflake, Vector DBs) and enterprise APIs.
●
Cognitive Design: Implement sophisticated memory management (short-term state and long-term RAG) and reasoning strategies (ReAct, Reflection) to reduce hallucinations.
●
AgentOps & CI/CD: Develop and maintain automated...