Generative AI Engineer

Coforge; Dallas (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

Coforge in Dallas seeks an experienced backend AI engineer to design and implement AI agent logic for an enterprise Agentic AI platform. You will focus on multi-step reasoning, tool usage, and safe, reviewable agent behavior.

Expect 10+ years in software/backend engineering, strong Python, and hands-on work with AI agents, RAG and Knowledge Graph solutions using Azure AI search and Neo4j. Collaboration with orchestration teams is key.

Qualifications

• 8–10 years software / backend engineering experience.
• Strong Python proficiency.
• Hands-on experience building AI agents.
• Hands-on experience building RAG solutions and Knowledge Graph based solutions – Azure AI search, Neo4j.
• Exposure to PAAS, Foundry, Azure AI search, LangGraph, etc.
• 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.

Responsibilities

• Implement agent logic and execution steps.
• Build agent flows including reasoning, tool selection and invocation.
• Structured response generation and integration 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.

Skills

Agentic AI platform

Python

Platform as a Service (PAAS)

Foundry

Azure AI search

Neo4j

LLM

LangGraph

LangChain Agents

multi-step reasoning

Tools

REST API

APIs integration

Job description

Skills: Agentic AI platform, Python, Platform as a Service (PAAS), Foundry, Azure AI search, Neo4j, LLM, LangGraph, etc

Experience: 10+ Yrs

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

• 8–10 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
• Good exposure on Platform as a Service (PAAS), Foundry, Azure AI search, LangGraph, etc
• 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