Must Have Skills: Agents development, A2A, MCP, Langgraph, Pydantic, Python, QUICK APIs, LLM, RAG, AWS/Azure/GCP

Valuable to Have Skills: Insurance (Annuities) domain knowledge

Responsibilities or Expectations from the Role:
Experience in software engineering or data science in Gen AI/LLM/Agentic AI.
Build, deploy, and optimize full-stack AI-powered applications using LLMs, intelligent agents, and ML.
Proficiency in Python, REST APIs and cloud-native infrastructure (Docker, CI/CD).
Hands-on experience with AI services
Solid knowledge of LLMs, embeddings, prompt engineering, and tool use.
Proven ability to prototype, iterate, and scale AI-enabled features.
AI-first developer mindset: using AI for scaffolding, testing, and refactoring code.
Design and scale RAG pipelines, vector search systems, and LLM evaluation workflows
Develop intuitive user experiences powered by LLMs and AI agents for real-time workflows.
Collaborate with IT, data, compliance, and business leaders to deliver business-facing solutions

📌 Generative Ai Hyderabad (India)
🏢 Tata Consultancy Services
📍 India