Azure AI Engineer

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Azure AI Engineer working on AI applications using Azure AI Services and Copilot. Collaborating with data engineers to develop scalable and secure solutions.

Posted 5/29/2026full-timeRemote • 🇲🇲 MyanmarMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AzurePython

About the role

Key responsibilities & impact

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

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

Benefits

Comp & perks

Health insurance
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI applicationschatbotsknowledge assistantsmulti-LLM orchestrationRAG workflowsCI/CDMLOpsPythonC#vector search

Certifications

AI-102AZ-204DP-100AZ-400