Python E1 | AI Gen AI - Products & Tools E1 Developer

Tata Consultancy Services; Ernakulam, Hyderabad, Bengaluru; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

Tata Consultancy Services in India seeks an AI & GenAI Engineer with strong Python development to design, build, and deploy enterprise-grade AI solutions. You will work on Generative AI, LLMs, prompt engineering, and scalable microservices using Azure OpenAI and related tools.

The role covers NLP pipelines, RAG applications, MLOps, and vector DBs for semantic search, collaborating with architects and business stakeholders to deliver reliable AI platforms.

Qualifications

• Strong Python development experience and hands-on GenAI/LLM work.
• Experience with Azure OpenAI, Azure AI Studio, and Azure ML.
• Knowledge of NLP, prompts, vector DBs, and microservices.
• Experience deploying AI models with MLOps and CI/CD.

Responsibilities

• Design and develop AI/GenAI applications using Python.
• Build solutions with LLMs (GPT, Llama, Gemini, etc.).
• Develop RAG-based applications and prompt engineering.
• Design REST APIs and microservices, deploy on Azure AI services.
• Build NLP pipelines and ensure scalable, secure AI platforms.
• Implement MLOps for deployment, monitoring and lifecycle.
• Work with vector databases for semantic search and retrieval.
• Collaborate with architects and data stakeholders to deliver AI solutions.

Skills

Python

Generative AI

LLMs

Azure OpenAI

NLP

Prompt Engineering

Vector Databases

REST APIs

Microservices

MLOps

Git CI/CD

Cloud-native dev

Tools

Docker

Kubernetes

LangChain

LangGraph

LlamaIndex

Job description

a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f6; }

Python E1 | AI & Gen AI - Products & Tools E1

Experience: 8+ Years
Location: Bangalore / Hyderabad / Pune
Role Type: AI & Data Engineering

Role Overview

We are seeking a highly skilled AI & GenAI Engineer with strong Python development expertise to design, develop, and deploy enterprise-grade AI solutions. The ideal candidate should have hands-on experience in Generative AI, Large Language Models (LLMs), Prompt Engineering, Azure AI services, and scalable microservices-based architectures.

Key Responsibilities

• Design and develop AI/GenAI applications using Python.
• Build intelligent solutions using LLMs such as GPT, Llama, Gemini, or similar models.
• Develop RAG (Retrieval-Augmented Generation) based applications.
• Implement Prompt Engineering techniques to improve AI response quality.
• Design and integrate REST APIs and microservices.
• Work with Azure OpenAI, Azure AI Studio, and Azure Machine Learning services.
• Build and optimize NLP pipelines for text understanding and conversational AI.
• Implement MLOps best practices for model deployment, monitoring, and lifecycle management.
• Work with Vector Databases for semantic search and knowledge retrieval.
• Collaborate with architects, data engineers, and business stakeholders to deliver AI-driven solutions.
• Ensure scalability, security, and reliability of AI platforms.

Mandatory Skills

• Strong Python programming expertise.
• Generative AI and LLM application development.
• Azure OpenAI / Azure AI Studio.
• AI/ML and Deep Learning concepts.
• Natural Language Processing (NLP).
• Prompt Engineering.
• Vector Databases (FAISS, Pinecone, ChromaDB, Weaviate, etc.).
• REST APIs and Microservices.
• MLOps and model deployment pipelines.
• Git, CI/CD, and cloud-native development.

Preferred Skills

• LangChain, LangGraph, LlamaIndex.
• Knowledge Graphs and Agentic AI.
• Azure Machine Learning.
• Docker and Kubernetes.
• Cloud experience on Azure.
• Data Engineering and ETL familiarity.