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