Agentic AI developer

Tata Consultancy Services; Tamil Nadu; On-site; INR 1,800,000 - 3,600,000; Full time

Job summary

Tata Consultancy Services in Chennai invites applicants for the Agentic AI Developer role designed for hands-on professionals with strong fundamentals in agentic AI and experience building agentic workflows. This position invites innovation and deployment of advanced AI systems.

Responsibilities include designing agentic workflows with LLMs, tool calls, MCP integration, RAG pipelines, observability, and scalable deployments using Kubernetes/OpenShift.

Qualifications

• 4–15 years of related experience.
• Experience building agentic AI systems.
• Programming in Python, .NET, or Java with ML libraries.

Responsibilities

• 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.
• Hands-on experience with agent frameworks and patterns (e.g., LangChain-based) including routing and coordination.
• Model Context Protocol (MCP) proficiency for integrating tools and contextual data into agent workflows.
• Build RAG pipelines and grounding strategies for enterprise knowledge sources to improve reliability.
• Agent observability & monitoring (AgentOps): track behavior, tool calls, outcomes, and signals; implement alerts and feedback loops.
• Cloud and/or platform engineering exposure for deploying agentic systems at scale (Kubernetes/OpenShift, CI/CD).
• Responsible AI safeguards: design human-in-the-loop controls and secure tool access.
• Proficiency in Python, .Net or Java with ML libraries (TensorFlow, PyTorch, Keras).

Skills

Agentic AI basics

LLM workflows

LangChain

MCP

RAG pipelines

Agent observability

Cloud Kubernetes

CI/CD

Responsible AI

Python

Java

.NET

TensorFlow

PyTorch

Keras

Job description

The Agentic AI role is designed for individuals with a strong understanding of agentic AI fundamentals and hands-on experience in building and deploying agentic workflows. This position requires a blend of technical expertise and innovative thinking to drive the development of advanced AI systems.

Job Title: Agentic AI Developer

Experience: 4-15 years

Walk in Drive Location - Chennai

Walk in Date - 19th September 2026

Responsibilities

• 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 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)