onsite
AI Agentic Engineer - Tata Consultancy Services (TCS)
Software Engineer
Lead the design and deployment of production‑grade agentic AI solutions, leveraging Python, LLMs, and orchestration frameworks such as LangGraph and Semantic Kernel to build intelligent, self‑directed workflows.
About the role
Key Responsibilities
- Architect and develop end‑to‑end agentic AI applications using Python and LLMs (GPT, Claude, Gemini).
- Implement advanced tool and function‑calling patterns, structured outputs, and rigorous evaluation pipelines.
- Design agentic workflows with LangGraph, Semantic Kernel, or AutoGen, ensuring scalability and maintainability.
- Collaborate with cross‑functional teams to translate business requirements into robust AI solutions.
- Continuously research and integrate emerging LLM capabilities and best practices.
Requirements
- Expert‑level proficiency in Python and strong fundamentals in software engineering.
- Hands‑on experience building production‑grade LLM applications with tool‑calling and evaluation.
- Proficiency with agentic AI frameworks such as LangGraph or Semantic Kernel.
- Familiarity with Java, Go, or TypeScript is a plus.
- Excellent problem‑solving skills and a passion for cutting‑edge AI research.
Skills
pythongenerative ai