Agentic AI

Job Description

Greetings from Tata Consultancy Services Recruitment Team!

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*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

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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.

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Skill: Agentic AI (Face to Face)

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Years of experience: 6 to 12 Years

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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 –700091, India

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Date: 8th August ,2026 (Saturday) (Face to Face)

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Drive Time: 9 AM to 2 PM

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JD for Agentic AI Engineer

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6 to 12 years of experience

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Locations: Kolkata

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Required Skills:

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• Degree in computer science, artificial intelligence, or IT.
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• Strong understanding of agentic AI fundamentals—goal definition, planning, reasoning, task decomposition, and autonomous action loops.
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• Design and build agentic workflows using LLMs, including tool/function calling, state management, memory, and orchestration patterns (single-agent/multi-agent).
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• Hands-on experience with agent frameworks and patterns (e.g., LangChain-based agent frameworks or equivalents), including routing, workflows, and agent coordination.
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• Model Context Protocol (MCP) proficiency for integrating tools and contextual data into agent workflows (tool discovery/usage via MCP servers).
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• 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.
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• Agent observability & monitoring (AgentOps): track agent behavior, tool calls, outcomes, and quality signals; implement alerts/traces and feedback loops for continuous improvement.
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• Cloud and/or platform engineering exposure for deploying agentic systems at scale (containers/Kubernetes/OpenShift, CI/CD, performance tuning, and secure operations).
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• 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.
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• Proficiency in programming languages such as Python, .Net or Java, with experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Keras).
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