Walk-in || Agentic AI Engineer
Tata Consultancy Services · Kolkata, West Bengal, India
Tata Consultancy Services · Kolkata, West Bengal, India
**TCS is conducting Face to Face interview for Agentic AI Engineer for Kolkata Location** **Job Role: Agentic AI Engineer** **Job Experience:** 4 to 12 Years **Interview Location: Kolkata** **Interview Mode:** Face to Face **Interview Date: 11-Jul-2026** **Venue:** TATA Consultancy Services, Delta Park Lords Building, Plot C, Block EP & GP, Salt Lake Electronics Complex, Sector V (Bidhannagar), Kolkata, West Bengal – 700091, India **What we are looking for:** - 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 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, 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).