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eduCLaaS

Azure AI Engineer - Pakistan

eduCLaaS

1d ago

0DevUnited Stateshimalayas
End-UserAzure-AI-EngineerAzure-ML-EngineerAzure-AI-EngineeringMicrosoft-Azure-AI-EngineeringAzure-Machine-Learning-EngineerAzure-AI-DeveloperAzure-EngineerAI-EngineerMid-level

Job Description

This is a remote position.Position: Azure AI Engineer (LLM & Copilot)Experience: 5–6 yearsAbout the RoleWe 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 DoBuild AI applications: chatbots, knowledge assistants, and copilotsImplement multi-LLM orchestration across Azure OpenAI, OpenAI, and other providersWork with data engineers to leverage datasets for RAG workflowsIntegrate AI solutions into business processes using Power PlatformDeploy AI apps on Azure (Functions, App Services, AKS, VMs)Implement CI/CD and MLOps pipelines using Azure DevOps or GitHub ActionsMonitor performance, reliability, and cost using Azure Monitor and Application InsightsMaintain technical documentation and reusable assetsStay current with Azure AI, Copilot, and related technologies RequirementsWhat You NeedBachelor’s or Master’s in Computer Science, AI/ML, or related field5–6 years of experience in AI, software development, or Azure applicationsMicrosoft certifications: AI-102, AZ-204, DP-100, AZ-400Hands-on experience with:Azure AI Services and Azure OpenAICopilot Studio and Power PlatformPython or C# for AI/LLM developmentDeploying applications on AzureExperience with RAG pipelines, vector search, or knowledge integrationUnderstanding of security, governance, and compliance in AzureNice to HaveExperience integrating AI into enterprise systems (CRM, ERP, LMS)Prompt engineering, fine-tuning, and evaluation of LLMsInfrastructure-as-code: ARM, Bicep, or TerraformAgile/Scrum experience Originally posted on Himalayas