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eduCLaaS

Azure AI Engineer

eduCLaaS

Azure AI Engineer focused on building AI-powered applications for Azure. Collaborating with teams to develop scalable and secure AI solutions with cutting-edge technologies.

Posted 5/29/2026full-timeRemote • 🇵🇰 PakistanMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AzureERPPythonTerraform

About the role

Key responsibilities & impact
  • Design, build, and deploy AI-powered applications on Azure
  • Work with Azure AI Services, Azure OpenAI, Copilot Studio, Power Platform, and multi-LLM orchestration to deliver chatbots, knowledge assistants, and enterprise copilots
  • Collaborate with data engineers and business teams to create production-ready AI solutions that are scalable, secure, and impactful
  • Build AI applications: chatbots, knowledge assistants, and copilots
  • Implement multi-LLM orchestration across Azure OpenAI, OpenAI, and other providers
  • Work with data engineers to leverage datasets for RAG workflows
  • Integrate AI solutions into business processes using Power Platform
  • Deploy AI apps on Azure (Functions, App Services, AKS, VMs)
  • Implement CI/CD and MLOps pipelines using Azure DevOps or GitHub Actions
  • Monitor performance, reliability, and cost using Azure Monitor and Application Insights
  • Maintain technical documentation and reusable assets
  • Stay current with Azure AI, Copilot, and related technologies

Requirements

What you’ll need
  • 5–6 years of experience in AI, software development, or Azure applications
  • Bachelor’s or Master’s in Computer Science, AI/ML, or related field
  • Microsoft certifications: AI-102, AZ-204, DP-100, AZ-400
  • Hands-on experience with: Azure AI Services and Azure OpenAI Copilot Studio and Power Platform
  • Python or C# for AI/LLM development
  • Deploying applications on Azure
  • Experience with RAG pipelines, vector search, or knowledge integration
  • Understanding of security, governance, and compliance in Azure
  • Nice to Have: Experience integrating AI into enterprise systems (CRM, ERP, LMS), Prompt engineering, fine-tuning, and evaluation of LLMs, Infrastructure-as-code: ARM, Bicep, or Terraform, Agile/Scrum experience

Benefits

Comp & perks
  • Professional development opportunities

ATS Keywords

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Hard Skills & Tools
AI developmentsoftware developmentAzure applicationsPythonC#multi-LLM orchestrationRAG workflowsCI/CDMLOpsinfrastructure-as-code
Soft Skills
collaborationcommunicationproblem-solvingadaptabilitytechnical documentation
Certifications
AI-102AZ-204DP-100AZ-400