Agentic AI Developer

About the Unit:
TCS AI is driving the vision of becoming the world’s largest AI-led technology services company, helping enterprises transform across the entire AI stack—from infrastructure to intelligence. With an action-oriented approach that goes beyond experimentation, TCS combines enterprise-grade AI platforms, model engineering, and human-centred design to deliver measurable business impact. At the heart of this transformation is data, enabling organisations to modernise their data ecosystems and infuse AI across customer value chains. For TCS, AI is not just a technology — It is the foundation of the next economy.
Role Name: Agentic AI Developer
Required Skills:
Degree in computer science, artificial intelligence, or IT.
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).
Location: Pune
Experience Range: 4-10 years
Qualifications: Any Technical Degree (BE/BTech/Mtech/MCA/BCA/BSC/Diploma/Masters)
Eligibility:
15 years of full-time education.
Good communication and interpersonal skills
Strong verbal and written communication skills
Willingness to work in a collaborative and dynamic environment
Relevant experience as per the job requirements (if applicable)
Unit level assets:
Solutions- First one should go with any AI opening
TCS AI WisdomNext™- A modular, enterprise‑grade GenAI platform to design and scale agentic automation with greater business impact
TCS Neural Decision Synthesis
TCS Rapid Outcome AI
Research insights/Blogs - First 2 articles will go with any AI opening
From potential to performance by design- TCS AI for Business Study – Key Findings
The Tata Story at the India AI Impact Summit
Statistical AI framework for model fragility detection
Winning With Intelligent Choice Architectures
Advance innovation with human-humanoid collaboration
How to measure success with agentic AI in enterprises
Build enterprise ready LLMs through fine tuning
Redefining application maintenance with AI
Case studies-
Deutsche Bank accelerates compliance with AI-powered digital assistant
Lloyds Banking Group: Re-imagining banking with AI
Global YT Video- TCS helps TDC NET modernise with human-in-the-loop AI
Leadership Video- both should go with any AI opening
Tata AI Conclave, powered by CNBC TV18- TATA chairman and COO
Transforming work in the age of AI- Ashok Krish
Big Bet hiring page link:
https://www.tcs.com/careers/india/tcs-ai-careers

Work arrangement
No