Senior Specialist - Software Engineering

LTM

Kolkata District

On-site

INR 1,500,000 - 2,500,000

Full time

9 days ago
Application generator

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Job summary

LTM is seeking an Azure Gen AI Senior Engineer in India to design and deploy AI-enabled applications on Azure using OpenAI and AI Services. You will build Python-based backends, implement RAG patterns, and ensure scalable, secure production-ready solutions.

You will collaborate with architects and product teams, integrate with App Service, Functions, Storage, and DevOps pipelines, and uphold Responsible AI practices across deployments.

Qualifications

  • Strong hands-on experience in Azure cloud services Generative AI solutions and Python-based development.
  • Experience in building AI-powered applications e.g. chatbots, recommender engines, predictive analytics.
  • Knowledge of Responsible AI principles and ethical AI design.
  • Exposure to Generative AI and LLM integration in enterprise workflows.

Responsibilities

  • Design and develop Azure-based GenAI solutions using Azure OpenAI and Azure AI Services.
  • Build Python-based backend services for AI workflows, APIs and orchestration layers.
  • Implement RAG Retrieval Augmented Generation patterns using Azure-native 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.
  • Develop REST APIs and microservices using Python (FastAPI, Flask).
  • Work with Azure AI Search for vector search and semantic retrieval.
  • Deploy and manage solutions using Azure DevOps / GitHub Actions CI/CD pipelines.

Skills

Python
Backend development
Azure cloud services
Generative AI
LLM integration
API design
Security governance
Responsible AI

Tools

FastAPI
Flask
Azure OpenAI
Azure Functions
Azure App Service
Azure Storage
GitHub Actions
Azure DevOps

Job description

Required Technical Skills
  • Azure App Service Azure Functions
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
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