Azure GenAI Developer

Elabs Infotech; Hyderabad, Chennai, Bengaluru; Hybride; INR 2 800 000 - 4 400 000; Plein temps

Résumé du poste

Elabs Infotech is seeking an Experienced Azure GenAI Developer to design and deploy production-grade AI apps using Microsoft Azure AI services. You will build robust RAG pipelines, REST APIs, and enterprise integrations across Hyderabad, Bangalore, or Chennai as required by the project.

The role requires hands-on GenAI, LLMs, Python, and Azure tools, with emphasis on MLOps, security, and scalable deployments in enterprise settings.

Qualifications

• 6+ years of experience.
• Hands-on with Azure OpenAI and Azure AI Foundry.
• Experience designing and deploying GenAI/LLM applications.

Responsabilités

• Design, develop, and deploy Generative AI and LLM-based applications.
• Build RAG pipelines using Azure AI Search, vector databases, and enterprise data sources.
• Develop REST APIs using Python frameworks such as FastAPI, Flask, or Django.
• Work with Azure OpenAI, Azure AI Foundry, and Azure Functions.
• Implement prompt engineering, LLM evaluation, and model optimization.
• Integrate AI solutions with enterprise apps via REST APIs and Azure API Management.
• Implement MLOps/LLMOps, deployment, monitoring, evaluation, and continuous improvement.
• Follow security, responsible AI, version control, and production readiness practices.

Connaissances

Python programming

Generative AI

LLMs

Prompt engineering

RAG pipeline development

REST API development

Outils

Azure OpenAI

Azure AI Foundry

Azure AI Search

vector databases

FastAPI

Flask

Django

Azure Functions

Azure API Management

Git

Docker

SQL

NoSQL databases

Description du poste

Experience: 6+ Years
Location: Hyderabad / Bangalore / Chennai (as per project requirement)
Notice Period: Immediate to 30 Days preferred

Job Description

We are looking for an experienced Azure GenAI Developer with strong expertise in Python, Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). The candidate should have hands-on experience developing and deploying production-grade AI applications using Microsoft Azure AI services.

Key Responsibilities

• Design, develop, and deploy Generative AI and LLM-based applications.
• Build RAG pipelines using Azure AI Search, vector databases, and enterprise data sources.
• Develop REST APIs using Python frameworks such as FastAPI, Flask, or Django.
• Work with Azure OpenAI, Azure AI Foundry, and Azure Functions.
• Implement prompt engineering, LLM evaluation, and model optimization techniques.
• Integrate AI solutions with enterprise applications using REST APIs and Azure API Management.
• Implement MLOps/LLMOps practices, including deployment, monitoring, evaluation, and continuous improvement.
• Follow best practices for security, responsible AI, version control, and production readiness.

Mandatory Skills

• Python programming
• Generative AI, LLMs, and prompt engineering
• RAG pipeline development
• Azure OpenAI and Azure AI Foundry
• Azure AI Search and vector databases
• FastAPI / Flask / Django and REST API development
• Azure Functions and Azure API Management
• Git, Docker, and SQL/NoSQL databases

Good to Have

• LLM fine-tuning and model evaluation
• MLOps / LLMOps
• NLP and machine learning fundamentals
• Production monitoring using Azure monitoring tools
• Experience with enterprise-scale AI deployments