Agentic AI

Role & responsibilities

Walk In Invitation :: TCS :: Agentic AI :: Kolkata:: 11-Jul-2026 ( Saturday)

Location - Kolkata(Face to Face Interview) Exp - 4+

Interested and available candidates on 11-Jul-26 can share profile.

• Strong understanding of agentic AI fundamentalsgoal definition, planning, reasoning, task decomposition, and autonomous action loops.
• Design and build agentic workflows using LLMs, including tool/function calling, state management, memory, and orchestration patterns (single-agent/multi-agent).
• Hands-on experience with agent frameworks and patterns (e.g., LangChain-based agent frameworks or equivalents), including routing, workflows, and agent coordination.
• Model Context Protocol (MCP) proficiency for integrating tools and contextual data into agent workflows (tool discovery/usage via MCP servers).
• Build Retrieval-Augmented Generation (RAG) pipelines and gr ounding strategies for enterprise knowledge sources (e.g., internal repos/wikis/ticketing/content stores) to improve agent reliability.
• Agent observability & monitoring (AgentOps): track agent behavior, tool calls, outcomes, and quality signals; implement alerts/traces and feedback loops for continuous improvement.
• Cloud and/or platform engineering exposure for deploying agentic systems at scale (containers/Kubernetes/OpenShift, CI/CD,