Azure AI Engineer

CLaaS2SaaS; Remote; MYR 80,000 - 120,000; Full time

Job summary

A tech company is seeking an Azure AI Engineer to design, build, and deploy AI-powered applications on Azure. This role involves collaborating with data engineers and business teams to create scalable and secure AI solutions. The ideal candidate should have 3–6 years of experience in AI development and solid hands-on experience with Azure AI Services, Azure OpenAI, and programming in Python or C#. The position offers the opportunity to work with cutting-edge technology in a remote setting.

Qualifications

• 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.

Responsibilities

• Build AI applications: chatbots, knowledge assistants, and copilots.
• Implement multi-LLM orchestration across Azure OpenAI, OpenAI, and other providers.
• Deploy AI apps on Azure (Functions, App Services, AKS, VMs).
• Monitor performance, reliability, and cost using Azure Monitor.

Skills

Azure AI Services

Azure OpenAI

Python

C#

MLOps

CI/CD

Data engineering

Education

Bachelor’s or Master’s in Computer Science, AI/ML, or related field

Tools

Azure Functions

Azure Monitor

Power Platform

GitHub Actions

Job description

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