Agentic AI

Greetings from Tata Consultancy Services Recruitment Team! *Face to Face*Interview For all those Agentic AI we are coming bigger with the plan of Face to Face Drive on 8th August,2026 (Saturday) in Kolkata It is a Face to Face interview planned to attract great Talents in Agentic AI. We believe that your skills and expertise are a better match for the skills we are looking for. Skill: Agentic AI (Face to Face) Years of experience: 6 to 12 Years Location : TCS Delta Park – Lords Building, Tata Consultancy Services (TCS), Plot C, Block EP & GP, Salt Lake Electronics Complex, Sector V (Bidhannagar), Kolkata, West Bengal – , India Date: 8th August ,2026 (Saturday) (Face to Face) Drive Time: 9 AM to 2 PM JD for Agentic AI Engineer 6 to 12 years of experience Locations: Kolkata Required Skills: Degree in computer science, artificial intelligence, or IT. Strong understanding of agentic AI fundamentals—goal 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 grounding 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, performance tuning, and secure operations). Responsible AI & guardrails: design human-in-the-loop controls, safe tool access, and security-aware policies for agents operating with credentials, data access, and budgets. Proficiency in programming languages such as Python, .Net or Java, with experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Keras).