Agentic AI Walk in drive in Hyderabad

Tata Consultancy Services; Hyderabad; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Tata Consultancy Services is hiring an Agentic AI Engineer to design and deploy agentic workflows with LLMs, tool calls, and memory management. You will integrate tools via MCP, build RAG pipelines, and ensure observability and secure, scalable operations.

Ideal candidates have 4–15 years of experience in AI, strong Python/Java/.NET skills, and hands-on experience with LangChain, TensorFlow, PyTorch or/Keras, plus cloud platforms like Kubernetes/OpenShift.

Qualifications

• Degree in computer science, AI or IT.
• Strong understanding of agentic AI fundamentals: goal definition, planning, reasoning, task decomposition, autonomous action loops.
• Design and build agentic workflows using LLMs, including tool calling, state management, memory and orchestration patterns.
• Hands-on experience with agent frameworks (e.g., LangChain) and routing/workflows/coordination.
• MCP proficiency for tool integration and contextual data in agent workflows.
• Build RAG pipelines and grounding strategies for enterprise knowledge sources.
• Agent observability/monitoring: track behavior, tool calls, outcomes, and signals; implement alerts.
• Cloud/Kubernetes/OpenShift, CI/CD, performance tuning, secure operations.
• Responsible AI: human-in-the-loop controls, safe tool access and data security policies.
• Proficiency in Python, Java, or .NET with TensorFlow/PyTorch/Keras libraries.

Responsibilities

• Design and implement agentic workflows using LLMs and tools.
• Integrate tools and data via MCP servers.
• Develop RAG pipelines and grounding strategies for enterprise data.
• Implement observability and monitoring for agents and tool calls.
• Deploy at scale using containers, Kubernetes or OpenShift; optimize performance.
• Adhere to responsible AI practices and safety policies.

Skills

Agentic AI fundamentals

LangChain-based agent frameworks

MCP proficiency

RAG pipelines

Agent observability

Cloud/Kubernetes/OpenShift

CI/CD

Responsible AI

Python

.NET/Java

TensorFlow/PyTorch/Keras

Education

Degree in computer science / AI / IT

Tools

LangChain

Kubernetes

OpenShift

CI/CD

TensorFlow

PyTorch

Keras

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