Lead AI Engineer

Coforge; Chicago (IL); On-site; USD 140,000 - 180,000; Full time

Job summary

Coforge in Chicago, IL is seeking an experienced AI engineer to design and implement AI agent logic for an enterprise Agentic AI platform, focusing on multi-step reasoning, tool usage, and safe, reviewable agent behavior.

You will work under guidance of the Orchestration Lead and Lead AI Engineer, building agent flows, selecting tools, and integrating with REST APIs and external systems to deliver assistive automation.

Qualifications

• 12+ years software/backend engineering experience.
• Strong Python programming skills.
• Hands-on experience building AI agents and RAG/Knowledge Graph solutions (Azure AI Search, Neo4j).

Responsibilities

• Implement agent logic and execution steps.
• Build agent flows including: reasoning, tool selection and invocation.
• 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.

Skills

Python

AI agents

LangGraph

LangChain Agents

Azure AI Search

Neo4j

REST API

Agent Frameworks

RAG Solutions

Knowledge Graph

Tools

REST API tooling

Job description

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