Agentic AI

Tata Consultancy Services; Bengaluru; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

Tata Consultancy Services in Bengaluru seeks a GenAI / Agentic AI Engineer to design and build AI agents, multi-agent systems, and enterprise copilots. You will integrate with MCP servers, Workday, and other enterprise applications using Python-based APIs and modern AI frameworks.

Expertise in LangGraph, LangChain, and other toolkits, plus strong knowledge of LLMs, prompts, RAG, embeddings, and vector databases, is required.

Qualifications

• Hands-on experience building AI agents and multi-agent systems.
• Strong knowledge of LLMs (GPT, Gemini, Claude, Llama, etc.).
• Proficient in Python and API development.
• Experience integrating with MCP servers and enterprise apps.
• Workday APIs and integration frameworks experience is mandatory.

Responsibilities

• Design and develop GenAI and Agentic AI solutions.
• Build AI agents, RAG pipelines, and enterprise copilots.
• Integrate AI solutions with MCP servers, Workday, and other enterprise applications.
• Develop Python-based APIs and AI services.
• Optimize model performance, accuracy, and scalability.
• Collaborate with business and technology teams to deliver AI-powered automation solutions.

Skills

AI Agents

LLMs

Prompt Engineering

Reasoning

Planning

Memory

Tool Calling

Python

APIs

Git

Education

Bachelor's or Master's in Computer Science / AI / Data Science

Tools

LangGraph

LangChain

CrewAI

AutoGen

Google ADK

Semantic Kernel

MCP Server

Workday APIs

Scikit-Learn

Pandas

NumPy

TensorFlow

PyTorch

Docker

Kubernetes

CI/CD

MLOps

Job description

We are looking for a highly skilled GenAI / Agentic AI Engineer with strong expertise in building AI agents, Generative AI solutions, Python development, and enterprise integrations. The ideal candidate should have hands-on experience with Agentic AI frameworks, MCP server integrations, API development, and Workday integrations (mandatory).

Mandatory Skills

Generative AI & Agentic AI

• Experience building AI Agents and Multi-Agent systems using frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Google ADK, or Semantic Kernel.
• Strong understanding of LLMs (GPT, Gemini, Claude, Llama, etc.).
• Hands-on experience with Prompt Engineering, RAG, Embeddings, Vector Databases, AI Guardrails, and Agent Orchestration.
• Experience developing agents with reasoning, planning, memory, and tool-calling capabilities.

Python & API Development

• Strong proficiency in Python.
• Knowledge of REST APIs, microservices, OOP concepts, testing frameworks, and Git.

MCP Server Integration

• Hands-on experience integrating AI applications with MCP (Model Context Protocol) Servers.
• Experience building and consuming MCP tools/connectors for AI agent ecosystems.
• Ability to integrate AI agents with enterprise applications and external systems.
• Experience with ML model development, deployment, and lifecycle management.
• Proficiency with Scikit-Learn, Pandas, NumPy, TensorFlow, or PyTorch.

Workday Integration (Mandatory)

• Experience working with Workday APIs and integration frameworks.
• Ability to integrate AI solutions with Workday business processes and data sources.

Responsibilities

• Design and develop GenAI and Agentic AI solutions.
• Build AI agents, RAG pipelines, and enterprise copilots.
• Integrate AI solutions with MCP servers, Workday, and other enterprise applications.
• Develop Python-based APIs and AI services.
• Optimize model performance, accuracy, and scalability.
• Collaborate with business and technology teams to deliver AI-powered automation solutions.

Preferred Skills

• Vector databases (Pinecone, FAISS, Weaviate, Chroma).
• Docker, Kubernetes, CI/CD, and MLOps.

Education

Bachelor's/Master's Degree in Computer Science, AI, Data Science, or related field.