Job highlights

- Experience with Agentic AI, RAG pipelines, LangChain, LangGraph, Semantic Kernel, and Azure OpenAI
- Design and develop autonomous agent AI solutions, build RAG pipelines, integrate LLMs, create Python APIs, deploy on Microsoft Azure, and ensure AI governance
- Design and develop Agentic AI solutions leveraging autonomous agents, planning, reasoning, memory, and tool-calling capabilities.
- Build and optimize RAG pipelines using vector databases and enterprise knowledge repositories.
- Develop AI applications using LangChain, LangGraph, Semantic Kernel, and related frameworks.
- Integrate and orchestrate LLMs such as Azure OpenAI, GPT, Claude, or Gemini into business workflows.
- Create and maintain scalable Python-based APIs and microservices for AI solutions.
- Implement prompt engineering, model evaluation, observability, and monitoring for AI systems.
- Deploy and manage AI applications on Microsoft Azure using Azure OpenAI, Azure AI Studio, Azure AI Search, Azure Functions, and related services.
- Collaborate with cross-functional teams to translate business requirements into AI-powered solutions.
- Ensure security, governance, and Responsible AI best practices across deployments.

📌 Artificial Intelligence Engineer (Pune)
🏢 Tata Consultancy Services
📍 Pune