eduCLaaS

(edtech)

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Azure AI Engineer – Philippines

Location Type

Remote

Role

Level

Senior

Language (main)

Python

Language (alt)

Frameworks (other)

Node

About eduCLaaS

eduCLaaS is an innovative edtech company focused on leveraging artificial intelligence to create personalized learning experiences for students. Their platform integrates adaptive learning technologies to tailor educational content according to individual learner needs, thereby enhancing engagement and improving outcomes. The company aims to bridge gaps in traditional education systems by providing scalable, technology-driven solutions.

The eduCLaaS platform offers a comprehensive suite of tools including AI-driven assessments, personalized content recommendations, and real-time analytics for educators and learners. This enables a more interactive and effective learning environment, supporting both students and teachers in achieving their educational goals. Their solutions cater to various educational institutions, from schools to higher education and professional training.

Committed to innovation, eduCLaaS continuously evolves its technology stack to incorporate the latest advancements in AI and machine learning. The company emphasizes data privacy and security, ensuring that user information is protected while delivering high-quality educational services. Their approach is designed to make learning more accessible, engaging, and efficient across diverse learning contexts.

With a strong presence in Singapore, eduCLaaS collaborates with educational institutions, government bodies, and industry partners to expand the reach and impact of their solutions. Their mission is to empower learners worldwide by transforming traditional education through cutting-edge technology and personalized learning pathways.

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About the Job

This is a remote position.

We are seeking highly skilled Azure AI Engineer to join our team. The engineers will be responsible for designing, developing, and deploying AI-powered applications on Microsoft’s Azure ecosystem. This role will involve working with Azure AI Services, Azure OpenAI, Microsoft Copilot Studio, MCP (Model Context Protocol) services, and Power Platform integrations to deliver intelligent solutions, such as chatbots, knowledge agents, and adaptive multi-LLM models.

The engineers will also collaborate with the team to identify the appropriate technology stack, establish best practices, and contribute to building scalable, secure, and production-ready AI solutions.

Key Responsibilities

· Technology Stack Definition Identify, evaluate, and recommend Microsoft and Azure-based technologies for AI/LLM development, ensuring scalability and security.

· AI Application Development Design and implement AI applications such as chatbots, conversational agents, and multi-LLM orchestration using Azure AI and Copilot Studio.

· Multi-LLM Integration Implement provider-agnostic orchestration and model routing across Azure OpenAI, OpenAI, and other providers (e.g., via Semantic Kernel hybrid model orchestration, LangChain routing, or LiteLLM)

· MCP Integration

Develop and manage MCP (Model Context Protocol) services for orchestrating responses across OpenAI, Azure OpenAI, and other LLM providers.

· End-to-End Deployment Build, test, and deploy applications on Azure (VMs, AKS, Functions, App Services, etc.), ensuring reliability and high availability.

· Power Platform Integration Extend applications using Power Apps, Power Automate, and Power Pages to connect AI services with business processes.

· Data & Knowledge Engineering Integrate Azure Cognitive Services, Azure Search, Dataverse, and vector databases for knowledge ingestion, semantic search, and retrieval-augmented generation (RAG).

· Data Pipelines

Build and manage Azure Data Factory, Synapse pipelines, or Fabric pipelines for scalable data ingestion and transformation.

· Collaboration & Documentation Work closely with product managers, solution architects, and business stakeholders to translate requirements into technical solutions. Maintain technical documentation and reusable assets.

· Continuous Improvement Stay updated with Microsoft’s AI advancements (Azure AI Studio, Fabric, Synapse, Cognitive Services) and incorporate them into project designs.

Requirements

Required Skills & Qualifications

· Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field.

· 3–6 years of experience in AI/ML application development with focus on Microsoft and Azure platforms.

· Hands-on experience with:

o Azure AI Services (Language, Vision, Speech, Cognitive Search, Azure OpenAI)

o Knowledge Microsoft Copilot Studio & Power Platform

o Azure Functions, AKS (Kubernetes), App Services, Logic Apps

o Dataverse, Azure SQL, and vector DBs (Pinecone, Cosmos DB with vectors, etc.)

o Azure Fabric Pipelines

· Strong programming background in Python, C#, or Node.js for AI/LLM development.

· Experience in multi-LLM orchestration (e.g., MCP services, LangChain, Semantic Kernel).

· Knowledge of MLOps practices, CI/CD pipelines in Azure DevOps or GitHub Actions.

· Understanding of enterprise security, compliance, and data governance in Azure.

Preferred Skills

· Certifications in Microsoft Certified: Azure AI Engineer Associate or Azure Solutions Architect.

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

· Familiarity with RAG pipelines, prompt engineering, and fine-tuning LLMs.

· Design and manage Azure core infrastructure (networking, IAM, storage, monitoring) to support AI workloads.

· Implement Azure Monitor, Log Analytics, and Application Insights to track performance, reliability, and cost of AI applications.

· Ensure enterprise-grade security with Azure Key Vault, Azure AD / Entra ID role-based access, and policy enforcement.

· Implement infrastructure-as-code using ARM templates, Bicep, or Terraform for repeatable deployments

· Exposure to Agile/Scrum methodologies for project delivery.