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Agentic AI Walk in drive in Hyderabad

  • Source: Naukri
  • Tata Consultancy Services
  • On-site
  • Hyderabad
  • Full-Time
  • Mid level

Job Description

JD for Agentic AI Engineer

4 to 15 years of experience (2+ years in AI/Gen AI is must).

Locations: PAN India, preferably Pune, Chennai, Hyderabad, Kolkata, NCR

Required Skills:

  • Degree in computer science, artificial intelligence, or IT.
  • 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-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).

Note : Dont apply candidates from TCS Currently and previously

Skills

  • ncr
  • LangChain
  • Kubernetes
  • guardrails
  • Python
  • dot-net
  • Java
  • Tensorflow
  • PyTorch
  • Keras

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