AI Engineer (AI Agents, Gen AI, Python)

TymblHub; Bengaluru; On-site; INR 690,000 - 780,000; Full time

Job summary

Tata Consultancy Services in Bengaluru, India seeks an AI Engineer with strong Python and Generative AI skills to design and deploy AI-powered applications. You will build AI Agents, implement RAG architectures, and integrate multiple LLMs to power intelligent workflows.

The role emphasizes API development, vector databases, and collaboration with cross-functional teams to deliver scalable AI solutions. Prior experience with LangChain and MLOps is valued.

Qualifications

• Strong proficiency in Python
• Experience with Generative AI, LLMs and AI Agent development
• Hands-on with LangChain, LangGraph, CrewAI, AutoGen or similar frameworks
• Experience in implementing RAG systems and vector databases
• Knowledge of prompt engineering and AI evaluation techniques
• Familiarity with vector DBs (Pinecone, FAISS, ChromaDB, Weaviate)
• Experience with REST APIs and AI model integrations
• Understanding of ML/NLP concepts
• Experience with Git, CI/CD and Agile
• Nice-to-have: Azure OpenAI, AWS Bedrock or Vertex AI, Kubernetes and Docker, MLOps practices
• Exposure to ML frameworks: TensorFlow or PyTorch

Responsibilities

• Design, develop, and deploy AI-powered applications using Generative AI technologies.
• Build and implement AI Agents for intelligent workflow automation.
• Develop scalable solutions using Python and modern AI frameworks.
• Design and implement RAG architectures for retrieval-augmented workflows.
• Integrate LLMs (OpenAI, Azure OpenAI, Claude, Gemini, open-source)
• Create and optimize prompts for model performance.
• Develop APIs and microservices for AI apps.
• Work with vector databases for semantic search and knowledge retrieval.
• Collaborate with cross-functional teams to deliver AI-driven solutions.
• Monitor, evaluate, and optimize model performance and scalability.

Skills

Python programming

Generative AI

LLMs

AI Agents

Prompt Engineering

RAG architectures

NLP concepts

Git

Agile methodologies

MLOps concepts

Tools

LangChain

LangGraph

CrewAI

AutoGen

Semantic Kernel

Pinecone

FAISS

ChromaDB

Weaviate

REST APIs

TensorFlow

PyTorch

Kubernetes

Docker

Job description

# AI Engineer (AI Agents, Gen AI, Python)Tata Consultancy ServicesPosted on October 22, 2026---Experience6 - 11 yrsSalary (CTC)₹6.9L - ₹7.8LJob LocationBengaluru, IndiaVacancy9DesignationAI EngineerJob TypeNot specified---## Job DescriptionJob Description We are seeking a highly skilled AI Engineer with strong expertise in AI Agents, Generative AI, LLMs, and Python to design and build next-generation AI-powered applications. The ideal candidate should have hands-on experience with agentic AI frameworks, prompt engineering, RAG architectures, vector databases, and cloud-based AI solutions. Key Responsibilities Design, develop, and deploy AI-powered applications using Generative AI technologies. Build and implement AI Agents for intelligent workflow automation and decision-making. Develop scalable solutions using Python and modern AI frameworks. Design and implement RAG (Retrieval-Augmented Generation) architectures. Integrate Large Language Models (LLMs) such as OpenAI, Azure OpenAI, Claude, Gemini, or open-source models. Create and optimize prompts for improved AI model performance. Develop APIs and microservices for AI applications. Work with vector databases for semantic search and knowledge retrieval. Collaborate with cross-functional teams to deliver AI-driven business solutions. Monitor, evaluate, and optimize model performance, accuracy, and scalability.Required SkillsStrong proficiency in Python programming. Experience in Generative AI, LLMs, and AI Agent development. Hands-on experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar frameworks. Experience in implementing RAG systems. Knowledge of Prompt Engineering and AI evaluation techniques. Familiarity with Vector Databases such as Pinecone, FAISS, ChromaDB, or Weaviate. Experience with REST APIs and AI model integrations. Understanding of Machine Learning and NLP concepts. Experience with Git, CI/CD pipelines, and Agile methodologies. Good to Have Experience with Azure OpenAI, AWS Bedrock, or Google Vertex AI. Knowledge of Kubernetes and Docker. Experience with MLOps practices and model deployment. Exposure to AI monitoring and observability tools. Knowledge of ML frameworks such as TensorFlow or PyTorch. Experience in cloud-native application development.---### KeywordsCHROMA Db---About the company## Tata Consultancy ServicesIT Services & Consulting · Indian MNCAn IT services and consulting firm offering business solutions, committed to driving innovation for global enterprises.Mumbai, Maharashtratcs.com