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AI Developer - Generative AI & Agentic AI

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Hybrid

AI Developer - Generative AI & Agentic AI

Tech Mahindra

AI Developer - Generative AI & Agentic AI

Skills

PythonC#.NETAIComplianceAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

29 September 2026

What they need


AI Developer - Generative AI & Agentic AI (5+ Years)

Experience: 5-10 Years
Employment Type: Full-Time

Job Description

We are looking for a passionate AI Developer with strong experience in Generative AI and Agentic AI solutions to join our growing AI Engineering team. The ideal candidate should have hands-on expertise in building enterprise AI applications using Microsoft Agent Framework (MAF), Azure AI Foundry, Azure OpenAI, and modern cloud-native technologies.

This role offers an exciting opportunity to work on cutting-edge AI solutions, intelligent agents, RAG architectures, and enterprise-scale AI platforms.

Key Responsibilities

  • Design, develop, and deploy Generative AI and Agentic AI solutions.
  • Build intelligent AI agents using Microsoft Agent Framework (MAF), Semantic Kernel, or similar frameworks.
  • Develop and implement RAG (Retrieval-Augmented Generation) solutions.
  • Build Agent-to-Agent (A2A) communication workflows and MCP-based integrations.
  • Integrate Azure OpenAI services with enterprise applications and data sources.
  • Evaluate, monitor, and optimize AI agent performance and reliability.
  • Implement Responsible AI, security, governance, and compliance controls.
  • Collaborate with architects, developers, and business stakeholders to deliver AI-powered solutions.
  • Follow coding standards, conduct code reviews, and ensure best engineering practices.

Required Skills

  • 5+ years of software development experience.
  • Strong hands-on experience in Python and/or .NET (C#).
  • Experience building applications using Azure OpenAI and Azure AI Foundry.
  • Expertise in Generative AI, Agentic AI, LLMs, Prompt Engineering, and RAG.
  • Experience with Microsoft Agent Framework (MAF), Semantic Kernel, AutoGen, or similar agent frameworks.
  • Knowledge of MCP (Model Context Protocol) and Agent-to-Agent (A2A) communication.
  • Experience in AI testing, evaluation, observability, and monitoring.
  • Strong understanding of Responsible AI and AI governance practices.
  • Experience working with Azure cloud services.
  • Excellent communication and problem-solving skills.

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