eduCLaaS - Azure AI Engineer (LLM & Copilot) - Malaysia

This is a remote position.

Position: Azure AI Engineer (LLM & Copilot)

Experience: 3–6 years

About the Role

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

Requirements

What You 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

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