Posted 16 June, 2026
Agentic AI
Tata Consultancy Services
Vijayawada, AP, IN
Full Time
Reference: 8247f3831fd3ddce
Job Description
Greetings from TCS!\n\nJob Title: Agentic AI\n\nWalkin Date: 13th June ‘26\n\nWalkin Location: TCS Operations, Millennium Towers, Block A & B, IT Hill No. 3, Rushikonda, Madhurawada, Visakhapatnam, Andhra Pradesh – 530048\n\nWalkin Time: 9am-1pm\n\nExperience Range: 3-10 yrs\n\nJob description:\n\nTCS has always been in the spotlight for being adept in the next big technologies. What we can offer you is a space to explore varied technologies and quench your techie soul.\n\nWhat we are looking for:\n\nStrong understanding of agentic AI fundamentals—goal definition, planning, reasoning, task decomposition, and autonomous action loops.\nDesign and build agentic workflows using LLMs, including tool/function calling, state management, memory, and orchestration patterns (single-agent/multi-agent).\nHands-on experience with agent frameworks and patterns (e.g., LangChain-based agent frameworks or equivalents), including routing, workflows, and agent coordination.\nModel Context Protocol (MCP) proficiency for integrating tools and contextual data into agent workflows (tool discovery/usage via MCP servers).\nBuild 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.\nAgent observability & monitoring (AgentOps): track agent behavior, tool calls, outcomes, and quality signals; implement alerts/traces and feedback loops for continuous improvement.\nCloud and/or platform engineering exposure for deploying agentic systems at scale (containers/Kubernetes/OpenShift, CI/CD, performance tuning, and secure operations).\nResponsible AI & guardrails: design human-in-the-loop controls, safe tool access, and security-aware policies for agents operating with credentials, data access, and budgets.\nProficiency in programming languages such as Python, .Net or Java, with experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Keras).\n\nMinimum Qualification: 15 years of full-time education