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

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Onsite

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

Tata Consultancy Services

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

Skills

Data EngineeringDeep LearningDockerPythonMicroservicesMachine LearningAIKubernetesNLP / Natural Language ProcessingAzure

1 month ago

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Important information


Contract type:

Permanent

Salary:

₹500,000 – ₹1,500,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

7 September 2026

What they need


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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.

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