Senior Specialist - Software Engineering

LTM; Kolkata District; On-site; INR 1,400,000 - 2,200,000; Full time

Job summary

LTM in India is seeking an Azure Gen AI Senior Engineer to design, build and deploy AI-enabled applications on Azure. The role focuses on scalable, secure and production-ready GenAI solutions, with hands-on experience in Azure OpenAI, Azure AI Services and Python frameworks to deliver end-to-end AI workloads.

You will develop REST APIs, work with AI search and vector stores, implement RAG patterns, and ensure governance for responsible AI, collaborating with architects and stakeholders to

Qualifications

• Hands-on experience designing and deploying GenAI on Azure.
• Proficient in Python backend development.
• Experience with REST APIs and microservices.
• Familiarity with Responsible AI principles.
• Experience with Azure services like App Service, Functions and Storage.

Responsibilities

• Design and develop Azure-based GenAI solutions using Azure OpenAI.
• Build Python-based backend services and APIs.
• Implement RAG patterns using Azure components.
• Integrate AI solutions with Azure PaaS services such as App Service and Storage.
• Collaborate with architects, product teams and stakeholders to translate AI use cases into solutions.
• Ensure security governance and responsible AI practices in all implementations.
• Develop REST APIs and microservices for AI workflows.
• Monitor, debug and optimize AI workloads for performance and cost.

Skills

Azure GenAI

Python

FastAPI

Flask

Cloud architecture

Tools

Azure OpenAI

Cognitive Search

Azure DevOps

GitHub Actions

CI/CD

Job description

Role Description

Job Title Azure Gen AI Sr Engineer

Role Overview

Strong handson experience in Azure cloud services Generative AI solutions and Pythonbased development The role involves designing building and deploying AIenabled applications on Azure leveraging Azure OpenAI Azure AI Services and Python frameworks with a focus on scalable secure and productionready solutions

Experience in building AIpowered applications eg chatbots recommendation engines predictive analytics

Knowledge of Responsible AI principles and ethical AI design

Exposure to Generative AI and LLM integration in enterprise workflows

Key Responsibilities

• Design and develop Azurebased GenAI solutions using Azure OpenAI and Azure AI Services
• Build Pythonbased backend services for AI workflows APIs and orchestration layers
• Implement RAG Retrieval Augmented Generation patterns using Azurenative components
• Integrate AI solutions with Azure PaaS services such as App Services Functions and Storage
• Collaborate with architects product teams and stakeholders to translate AI use cases into solutions
• Ensure security governance and responsible AI practices in all implementations

Platform Engineering Responsibilities

• Develop REST APIs and microservices using Python FastAPI Flask
• Work with Azure AI Search Cognitive Search for vector search and semantic retrieval
• Deploy and manage solutions using Azure DevOps GitHub Actions CICD pipelines
• Monitor debug and optimize AI workloads for performance and cost

Required Technical Skills

• Azure App Service Azure Functions
• Azure Storage Azure API Management
• Generative AI on Azure
• Azure AI Foundry
• Azure OpenAI Prompting embeddings function calling assistants
• Azure AI Services Language Vision Document Intelligence as applicable
• Strong proficiency in Python for backend and AI integration
• Experience with FastAPI Flask

GoodtoHave

• Agent orchestration frameworks
• Exposure to multiagent or workflowbased GenAI architectures
• Docker AKS basics for AI workloads
• Knowledge of AI governance content safety and PII handling
• Any Azure AI certificatiom