Skills- Agentic AI

Exp- 3 to 10 years

Location - Hyderabad- Walkin drive

Date of Drive -13th June 26-Saturda

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Drive location - TCS Rajapushpa Paradigm, ISB Road, Financial District, Nanakaramguda, Serilingampally, Hyderabad, Telangana 5000

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Skill keywords -Agentic AI, LLM, MCP, RAG, AgentOps, Python, c

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Job descr

iption 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-a
gent). Hands-on experience with agent frameworks and patterns (e.g., LangChain-based agent frameworks or equivalents), including routing, workflows, and agent coordin
ation. Model Context Protocol (MCP) proficiency for integrating tools and contextual data into agent workflows (tool discovery/usage via MCP ser
vers). 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 reliab
ility. Agent observability & monitoring (AgentOps): track agent behavior, tool calls, outcomes, and quality signals; implement alerts/traces and feedback loops for continuous improv
ement. Cloud and/or platform engineering exposure for deploying agentic systems at scale (containers/Kubernetes/OpenShift, CI/CD, performance tuning, and secure operat
ions). Responsible AI & guardrails: design human-in-the-loop controls, safe tool access, and security-aware policies for agents operating with credentials, data access, and bu
dgets. Proficiency in programming languages such as Python, .Net or Java, with experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, K

eras).

Agentic AI