C
Lead Ai Engineer
COFORGE Marketing
2 hours ago
Full-time
On-site
Chicago, Illinois, United States
Role: Lead AI Engineer Skills: AI Agent Logic, Agent Frameworks, RAG Solutions, Python, Azure AI Search (LangGraph, LangChain Agents, or equivalent), REST API Experience: 12+ years Location: Chicago, IL (Onsite Job)
Role Summary Design and implement AI agent logic for an enterprise Agentic AI platform, focusing on multi‑step reasoning, tool usage, and safe, reviewable agent behavior.
Must‑Have Technical Skills
12 + years software / backend engineering experience Strong Python Hands‑on experience building AI agents Hands-on experience building RAG solutions and Knowledge Graph based solutions – Azure AI search, Neo4j Experience with agent frameworks (LangGraph, LangChain Agents, or equivalent) Experience designing multi‑step, stateful workflows Experience integrating agents with external tools via APIs Strong REST API and service integration skills
Key Responsibilities
Implement agent logic and execution steps Build agent flows including: Reasoning Tool selection and invocation Structured response generation Integrate agents with orchestration and MCP layers Ensure agents operate in assistive, non‑autonomous mode Handle retries, failures, and edge cases in agent execution Support evaluation, tuning, and refinement of agent behavior Work under guidance of Orchestration Lead and Lead AI Engineer
Good to Have
Exposure to enterprise automation platforms
Role Summary Design and implement AI agent logic for an enterprise Agentic AI platform, focusing on multi‑step reasoning, tool usage, and safe, reviewable agent behavior.
Must‑Have Technical Skills
12 + years software / backend engineering experience Strong Python Hands‑on experience building AI agents Hands-on experience building RAG solutions and Knowledge Graph based solutions – Azure AI search, Neo4j Experience with agent frameworks (LangGraph, LangChain Agents, or equivalent) Experience designing multi‑step, stateful workflows Experience integrating agents with external tools via APIs Strong REST API and service integration skills
Key Responsibilities
Implement agent logic and execution steps Build agent flows including: Reasoning Tool selection and invocation Structured response generation Integrate agents with orchestration and MCP layers Ensure agents operate in assistive, non‑autonomous mode Handle retries, failures, and edge cases in agent execution Support evaluation, tuning, and refinement of agent behavior Work under guidance of Orchestration Lead and Lead AI Engineer
Good to Have
Exposure to enterprise automation platforms