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CLaaS2SaaS Linkedin · Posted 13d ago

Azure AI Engineer - Indonesia

Jakarta

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Azure AI Engineer (LLM & Copilot)

Experience: 5–6 years

About the Role

We are looking for an experienced Azure AI Engineer to design, build, and deploy AI-powered applications on Microsoft Azure. You will work with Azure AI Services, Azure OpenAI, Azure AI Search, Copilot Studio, and Power Platform to develop enterprise-grade chatbots, knowledge assistants, and AI copilots.

You will collaborate closely with data engineers, software developers, and business stakeholders to deliver scalable, secure, and production-ready AI solutions that drive business impact.

Key Responsibilities

AI Solution Development

  • Design, develop, and deploy AI-powered applications, including chatbots, knowledge assistants, and enterprise copilots
  • Build and optimize Retrieval-Augmented Generation (RAG) solutions using Azure AI Search, vector search, and enterprise knowledge sources
  • Integrate Azure OpenAI and other LLM providers into business applications and workflows
  • Develop AI solutions using Python and/or C#

Azure AI & Cloud Engineering

  • Deploy and manage AI applications on Azure using services such as Azure Functions, App Services, AKS, and Virtual Machines
  • Configure and manage Azure AI Services, Azure OpenAI, Azure AI Search, and related Azure resources
  • Ensure solutions meet enterprise standards for security, governance, compliance, and scalability

Copilot & Power Platform

  • Design and build custom copilots using Microsoft Copilot Studio
  • Integrate AI capabilities into business processes using Power Platform
  • Develop conversational experiences and knowledge assistants for internal and external users

DevOps & Operations

  • Implement CI/CD pipelines using Azure DevOps and/or GitHub Actions
  • Support MLOps and AI application lifecycle management
  • Monitor application performance, reliability, usage, and costs using Azure Monitor and Application Insights
  • Maintain technical documentation and reusable solution assets

Continuous Improvement

  • Stay up to date with Azure AI, Azure OpenAI, Copilot, and emerging LLM technologies
  • Recommend improvements and best practices for AI solution architecture and delivery

Requirements

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, or a related field
  • 5+ years of experience in software development, cloud engineering, AI solutions, or related technical roles
  • Hands-on experience with Azure AI Services and Azure OpenAI
  • Experience building and deploying AI/LLM applications in production environments
  • Strong experience with Retrieval-Augmented Generation (RAG), vector search, embeddings, and knowledge retrieval solutions
  • Experience with Azure AI Search or equivalent vector search technologies
  • Experience developing solutions using Python and/or C#
  • Experience deploying applications and services on Microsoft Azure
  • Familiarity with CI/CD practices using Azure DevOps or GitHub Actions
  • Understanding of Azure security, governance, and compliance best practices
  • Experience working with REST APIs, integrations, and enterprise systems

Preferred Qualifications

  • Experience with Microsoft Copilot Studio and Power Platform
  • Experience integrating AI solutions with enterprise platforms such as CRM, ERP, LMS, or HR systems
  • Experience with prompt engineering, LLM evaluation, model optimization, and fine-tuning
  • Experience with multi-LLM architectures and orchestration
  • Experience with Infrastructure as Code (Terraform, Bicep, or ARM templates)
  • Microsoft certifications such as AI-102, AZ-204, DP-100, or AZ-400
  • Experience working in Agile/Scrum environments
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