[Hiring] Azure AI Engineer @EduCLaaS

Role Description

We are looking for an Azure AI Engineer to design, build, and deploy AI-powered applications on Azure. You will work with Azure AI Services, Azure OpenAI, Copilot Studio, Power Platform, and multi-LLM orchestration to deliver chatbots, knowledge assistants, and enterprise copilots.

You’ll collaborate with data engineers and business teams to create production-ready AI solutions that are scalable, secure, and impactful.

What You’ll Do

• 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

Qualifications

• Bachelor’s or Master’s in Computer Science, AI/ML, or related field
• 3–6 years of experience in AI, software development, or Azure applications
• 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