Gen AI Lead

Coforge · Information Technology · Software · Python · 1 day ago
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Salary
≈ $24k – $63k per year (Estimated)
Location
In office (Greater Noida, Hyderabad, Pune)
Seniority
Staff · 7+ years exp

First seen by Alion on Oct 27, 2026.

Overview
Company
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Coforge

Coforge is a global digital services and information technology solutions company headquartered in Noida, Uttar Pradesh, India. The firm provides advanced capabilities in artificial intelligence engineering, cloud modernization, data analytics, and digital process automation, primarily serving the financial services, insurance, and travel sectors. Leveraging deep domain expertise and an extensive international delivery network, it helps enterprise clients modernize core systems and accelerate large-scale digital transformation.
coforgetech.com · HQ: Noida, India · Information Technology · Software · Custom Software Development · IT Consulting & Digital Transformation · Est. 2004
Tech stack of Coforge

Responsibilities:

  • Lead end-to-end delivery of GenAI and Agentic AI solutions.
  • Design and implement RAG, AI Agents, MCP, multi-agent orchestration, and LLM-based applications.
  • Guide teams in prompt engineering, evaluation frameworks, guardrails, observability, and performance optimization.
  • Translate business requirements into scalable AI solutions.
  • Establish coding standards, architecture patterns, and engineering best practices.
  • Conduct technical reviews and mentor GenAI engineers.
  • Collaborate with architects, product owners, and business stakeholders.
  • Drive production readiness, monitoring, security, and Responsible AI compliance.


Requirements:

  • Exp Range: 7+ years.
  • Strong hands-on experience with Python, FastAPI, LangChain, LangGraph, Semantic Kernel, AutoGen, and MCP.
  • Experience with Azure AI Foundry, OpenAI, AWS Bedrock, or similar platforms.
  • Strong understanding of LLMs, RAG, vector databases, AI agents, prompt engineering, LLM evaluation, and AI observability.
  • Experience with CI/CD, MLOps, containerization, and cloud-native deployments.
  • Strong stakeholder communication and leadership abilities.

Skills

Autogen, FastAPI, LangChain, LangGraph, Python, Rag, Retrieval-Augmented Generation, Semantic Kernel

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