AI Engineer / AI Solutions Developer (Azure & Generative AI)

Tech Mahindra; Hyderabad, Chennai District, Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Tech Mahindra seeks an AI Engineer to design and deliver AI-powered applications using Python, Azure cloud, and modern REST APIs. The role focuses on building scalable APIs and enabling production-grade cloud solutions.

You will implement Retrieval Augmented Generation (RAG) solutions, integrate Azure AI Foundry services, and collaborate with cross-functional teams to deploy production AI services. This role emphasizes code quality, security, and scalable deployments in a cloud environment.

Qualifications

• Strong Python development experience.
• Hands-on with FastAPI, Flask, or Django.
• Experience with Microsoft Azure and Azure AI Foundry.
• Proven record deploying production-grade REST APIs.
• Deep understanding of Retrieval Augmented Generation (RAG).

Responsibilities

• Design, develop, and maintain AI-powered applications using Python.
• Build scalable REST APIs with a focus on security and performance.
• Design and implement Retrieval Augmented Generation (RAG) solutions for enterprise AI use cases.
• Develop and integrate AI services using Azure AI Foundry and Azure-native services.
• Collaborate with cross-functional teams to deliver cloud-based AI solutions.
• Monitor, optimize, and troubleshoot AI applications in production environments.
• Follow best practices for code quality, deployment, and cloud operations.

Skills

Python development

FastAPI/Flask/Django

Microsoft Azure

Azure Functions

Azure AI Foundry

REST APIs

RAG

Git

API security

Tools

Docker

LangChain

Semantic Kernel

Job description

We are seeking a highly skilled AI Engineer / AI Solutions Developer with strong expertise in Python, Azure Cloud, REST API development, and Retrieval Augmented Generation (RAG).

Key Responsibilities

• Design, develop, and maintain AI-powered applications using Python and modern frameworks.
• Build and deploy production-grade REST APIs with a focus on scalability, security, and performance.
• Design and implement Retrieval Augmented Generation (RAG) solutions for enterprise AI use cases.
• Develop and integrate AI services using Azure AI Foundry and Azure-native services.
• Collaborate with cross-functional teams to deliver innovative cloud-based AI solutions.
• Monitor, optimize, and troubleshoot AI applications in production environments.
• Follow best practices for code quality, version control, deployment, and cloud operations.

Required Skills & Qualifications

• Strong proficiency in Python development.
• Hands-on experience with FastAPI, Flask, or Django.
• Strong experience working with Microsoft Azure.
• Experience developing and deploying solutions using Azure Functions and Azure AI Foundry.
• Proven track record of building and deploying production-grade REST APIs.
• Deep understanding and practical implementation experience of Retrieval Augmented Generation (RAG).
• Experience with Azure services such as:
  • Azure API Management (APIM)
  • Azure Storage
  • Azure Log Analytics
• Strong knowledge of API design, integration, and security best practices.
• Experience with version control systems such as Git.
• Excellent analytical, troubleshooting, and problem-solving skills.
• Ability to work independently as well as in a collaborative team environment.

Preferred Skills

• Azure OpenAI Service
• Azure AI Search
• LangChain
• Semantic Kernel
• Docker and Containerization
• CI/CD using Azure DevOps
• Knowledge of LLMs, Embeddings, and Prompt Engineering

Experience

• 5+ years of software development experience.
• 2+ years of hands-on experience with Generative AI, LLMs, or RAG-based applications.