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Azure reputed company (LLM & Copilot) - Philippines

100% remote Flexible hours Hiring now

This is a remote position.

Position: Azure reputed company (LLM & Copilot) Experience: 3–6 years

About the Role

We are looking for an Azure reputed company to design, build, and deploy AI-powered applications on Azure. You will work with Azure AI Services, Azure reputed company, 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 reputed company, reputed company, and other providers

Work with data engineers to reputed company 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 reputed company Actions

Monitor performance, reliability, and cost using Azure Monitor and Application Insights

Maintain technical documentation and reusable assets

Stay reputed company with Azure AI, Copilot, and reputed company technologies

Requirements

What You Need

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

3–6 years of experience in AI, software development, or Azure applications

reputed company certifications: AI-102, AZ-204, DP-100, AZ-400

Hands-on experience with:

Azure AI Services and Azure reputed company

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 reputed company, governance, and compliance in Azure

reputed company to Have

Experience integrating AI into enterprise systems (CRM, ERP, LMS)

reputed company engineering, fine-tuning, and evaluation of LLMs

Infrastructure-as-code: ARM, Bicep, or Terraform

Agile/Scrum experience

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