Azure AI Engineer (LLM & Copilot) at EduCLaaS – Pakistan 2026

Job Overview

EduCLaaS is seeking a highly skilled, remote-based Azure AI Engineer (LLM & Copilot) stationed in Pakistan to join its technology team on a full-time basis. The selected professional will take responsibility for designing, constructing, and deploying AI-powered applications on the Microsoft Azure cloud ecosystem. Working in close collaboration with data engineers and business teams, the engineer will turn complex functional requirements into production-ready, secure, scalable, and impactful enterprise AI solutions. The core focus of this role involves delivering intelligent chatbots, custom knowledge assistants, and sophisticated enterprise copilots.

Vacancy Details & Operational Framework

• Job Title: Azure AI Engineer (LLM & Copilot)
• Hiring Entity: EduCLaaS
• Job Location: Pakistan (100% Remote Job)
• Number of Positions: 1
• Industry: End User
• Account Manager: Rachel Joie U. Batan
• Employment Type: Full-time
• Job Opening Status: In-progress

Key Responsibilities & Job Duties

• AI Application Construction: Designing and deploying advanced AI-driven tools, including interactive chatbots, localized knowledge assistants, and enterprise copilots.
• LLM Orchestration: Implementing robust multi-LLM orchestration workflows across Azure OpenAI, standard OpenAI, and complementary model providers.
• RAG Workflow Engineering: Partnering directly with data engineers to leverage organizational datasets for Retrieval-Augmented Generation (RAG) pipelines and vector searches.
• Business Process Integration: Integrating completed AI solutions directly into active business workflows utilizing the Power Platform and Copilot Studio.
• Cloud Infrastructure Deployment: Deploying application logic onto the Microsoft Azure cloud framework, utilizing Azure Functions, App Services, Azure Kubernetes Service (AKS), and Virtual Machines (VMs).
• Pipeline Automation: Implementing structured continuous integration, continuous delivery (CI/CD), and Machine Learning Operations (MLOps) pipelines via Azure DevOps or GitHub Actions.
• Telemetry & Cost Management: Monitoring application performance, data reliability, system health, and operational expenditures using Azure Monitor and Application Insights.
• Asset Maintenance: Preserving clean, reusable technical documentation and internal coding assets for continuous development loops.
• Innovation Tracking: Staying continuously up to date with new trends and shifting developments across Azure AI, Copilot systems, and adjacent technologies.

Required Qualifications & Technical Skills

• Educational Background: A Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field.
• Professional Track Record: Five (05) to six (06) years of practical experience in artificial intelligence engineering, full-stack software development, or Azure cloud applications.
• Mandatory Microsoft Certifications: The applicant must possess the following official tracking credentials:
• AI-102 (Azure AI Engineer Associate)
• AZ-204 (Azure Developer Associate)
• DP-100 (Azure Data Scientist Associate)
• AZ-400 (DevOps Engineer Expert)
• Core Technical Hands-On Experience:
• Direct mastery of Azure AI Services and the Azure OpenAI infrastructure.
• Proven implementation proficiency with Copilot Studio and the broader Power Platform ecosystem.
• High programming competence in either Python or C# tailored for native AI and Large Language Model (LLM) software development.
• Practical background deploying application architecture directly on Microsoft Azure nodes.
• Concrete experience building out RAG pipelines, managing vector searches, or executing complex knowledge integrations.
• Clear foundational understanding of cloud security architectures, corporate governance models, and compliance benchmarks within Azure.

Preferred Qualifications (Nice to Have):

• Experience integrating advanced AI solutions directly into large-scale enterprise platforms (such as CRM, ERP, or Learning Management Systems / LMS).
• Practical familiarity with prompt engineering methodologies, LLM fine-tuning, and algorithmic evaluation loops.
• Infrastructure-as-Code (IaC) deployment background using ARM templates, Bicep, or Terraform.
• Experience operating within structured Agile or Scrum project management frameworks.

How to Apply Online (Step-by-Step Guide)

1. Access the Global Talent Acquisition Gateway: Qualified artificial intelligence engineers must navigate directly to the official recruitment interface using the exact URL provided: https://lithan.zohorecruit.com/jobs/Careers/316649000040795013/Azure-AI-Engineer---Pakistan
2. Verify Job Opening Context: Confirm the digital listing maps accurately to the full-time position titled Azure AI Engineer - Pakistan (Job Reference ID: 316649000040795013), initialized on the open status track.
3. Establish Your Candidate Account: Complete the standardized personal details forms, outline your software engineering history, and upload an updated, comprehensive CV.
4. Detail Technical Stack Credentials: Applicants must ensure their resume prominently features their academic background in Computer Science or AI/ML, their 5–6 years of software engineering history, and their specific Microsoft certifications (AI-102, AZ-204, DP-100, AZ-400) before final submission.

Important Dates

• Date Opened / Posted On: May 28, 2026
• Job Status: Active / In-progress
• Application Assessment: Managed systematically by the designated EduCLaaS account manager, Rachel Joie U. Batan, on a rolling basis.

Expert Advice for Applicants

• Lead with Your Microsoft Certification Acronyms: Because this role enforces a strict compliance filter for specific Microsoft credentials (AI-102, AZ-204, DP-100, and AZ-400), candidates should place these alphanumeric codes right at the top of their CV under their name header. This guarantees clear visual identification during initial technical reviews.
• Quantify Python/C# and Cloud Deployment Metrics: To properly satisfy the required 5–6 year experience range, do not just list project tasks. Structure your engineering bullets to showcase total asset lifecycle handling, such as: "Engineered a secure Python-based RAG pipeline via Azure OpenAI, utilizing vector search methodologies to link enterprise datasets to custom Azure Web Apps."
• Highlight Dual Programming and Low-Code Mastery: The hiring division is hunting for developers who can bridge traditional coding with modern low-code automation tools. Emphasize your balanced background in building custom backend integrations and successfully extending them into Power Platform workflows or Copilot Studio systems to directly optimize corporate processes.