Azure AI Developer

Role & responsibilities

Azure AI & Integration Specialist

You will also be responsible for provisioning and managing Azure resources, building scalable APIs, and integrating enterprise platforms through Graph and REST APIs.

Key Responsibilities

• Design conversational and automation flows using

  Prompt Flow in Azure AI Studio

  .
• Build and optimize prompts for

  Azure OpenAI (GPT-3.5, GPT-4, GPT 4o)

   and other models like

  Claude

   etc.
• Integrate AI models into production-grade pipelines with security, grounding, and monitoring practices.
• Evaluate multi-model performance for summarization, classification, extraction, or intelligent Q&A.

• Create document processing solutions using

  Azure AI Document Intelligence (Form Recognizer)

   for forms, invoices, contracts, and scanned PDFs.
• Train custom models and integrate them into business workflows via Logic Apps, Azure Functions, or Python-based services.
• Automate data extraction and transformation pipelines for unstructured and semi-structured content.

• Develop and deploy modern web apps using

  React.js

   (frontend) and

  Python (FastAPI / Flask)

   for backend logic.
• Build secure and scalable

  REST APIs

   and Graph API-based solutions to interact with M365, SharePoint, Teams, OneDrive, Outlook, etc.
• Consume third-party APIs (ServiceNow, Salesforce, JIRA, Workday, SAP) using OAuth2 and token-based authentication.

• Provision, configure, and manage Azure resources like:

• Web Apps

• Azure Functions

• Cognitive Services

• Blob Storage / Key Vault / API Management

• Set up CI/CD pipelines using

  Azure DevOps

   or

  GitHub Actions

  .
• Monitor applications using

  Application Insights

  ,

  Log Analytics

  , and create alerts for performance & reliability. 

Required Skills

• 7+ years of experience in application development and system integrations.
• Expertise in

  Azure AI

   (OpenAI, Document Intelligence, Cognitive Services).
• Strong knowledge of

  Prompt Flow

  ,

  prompt engineering

  , and grounding techniques.
• Solid understanding of

  REST APIs

  ,

  Microsoft Graph API

  , and secure API consumption.
• Proficient in

  Python

   (Flask/FastAPI),

  React.js

  , and full-stack web development.
• Experience with

  Azure Web Apps

  , Azure Functions, storage accounts, and Azure resource deployment.
• Familiarity with DevOps workflows and automated deployments. 

Preferred Skills

• Exposure to multiple LLMs:

  Claude, GPT-4, LLama, Mistral

  , etc.
• Experience with RAG, langchain, lang graph.
• Experience with

  Power Platform (Power Automate / CoPilot Studio)

   for workflow integration.
• Understanding of

  OAuth2, RBAC, managed identities

  , and API throttling.
• Familiarity with

  SharePoint Online

  ,

  Dataverse

  , and structured data platforms.
• Microsoft certifications: AI-102, AZ-204, PL-400, or equivalent.