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Current & Preferred Location-

Current & Expected CTC-

Notice Period-

Are your comfortable to visit the office in final technical round? (Only apply if you're)-

:

6 to 12 years of experience.

- Robust hands-on experience with Python, FastAPI, LangChain, LangGraph, Semantic Kernel, AutoGen, 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

- AI Observability
- Experience with CI/CD, MLOps, containerization, and cloud-native deployments.
- Strong stakeholder communication and leadership abilities.

Key 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

📌 Senior Gen AI Engineer (Greater Noida)
🏢 Coforge
📍 Greater Noida