Job highlights

- 6+ years experience with Python, FastAPI, LangChain, LangGraph, Semantic Kernel, AutoGen, MCP, Azure AI Foundry, OpenAI, AWS Bedrock, expertise in LLMs, RAG, Vector Databases, AI Agents, Prompt Engineering, LLM Evaluation, AI Observability
- Lead delivery of GenAI and Agentic AI solutions, design and implement RAG, AI Agents, MCP, multi-agent orchestration, guide teams on prompt engineering and evaluation, translate business needs into scalable AI solutions, establish coding standards, conduct technical reviews, mentor engineers, collaborate with stakeholders, ensure production readiness and Responsible AI compliance

Role- AI Engineer Exp-6+ yrs

Location- Gretaer Noida/ Pune

Immediate joiners preferred

:

- 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

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