Join CloudMarc as an AI Platform Engineer (Full-Stack)

Type: Contract

At CloudMarc, we're helping enterprises and institutions transform the way they deliver digital services through intelligent, scalable platforms. We're now building a cutting-edge AI Agent platform that powers intelligent learning, digital student services, and research enablement across domains. This includes LLMs, vector search, semantic pipelines – all within a streamlined SaaS solution.

We’re seeking a hands-on Full Stack AI Platform Engineer to take ownership of delivering robust software components from backend APIs and AI pipelines to front-end interfaces. You'll work closely with our AI & Digital Transformation lead, alongside a team of engineers, architects, and designers.

This is a software engineering role – not research or prototyping. It's ideal for someone who thrives on turning ideas into real, secure, scalable systems.

What you’ll do

AI System Implementation

• Build and maintain AI pipelines: document ingestion, chunking, embedding, and RAG workflows using Python (FastAPI preferred)
• Integrate with OpenAI / Azure OpenAI APIs, or open-source LLMs
• Implement vector search tools such as FAISS, Qdrant, or Azure AI Search
• Build APIs for intelligent agent interaction and content access

Full-Stack Web Engineering

• Develop frontend dashboards, portals, and admin tools using React or Next.js
• Implement secure OAuth2 authentication with Microsoft Entra ID (Azure AD)
• Deliver multi-tenant architecture, RBAC, and content access layers
• Ensure UI/UX usability in the absence of a dedicated designer during early stages

Platform Delivery

• Collaborate with Cloud DevOps Engineers to deploy in Azure using Docker and CI/CD pipelines
• Contribute to system architecture decisions with a focus on scalability and performance
• Work with Git and agile processes to manage releases and iterations
• Write and maintain production-grade, well-documented code

What we’re looking for

Essential

• Proven experience as a full-stack engineer with Python (FastAPI) or Node.js
• Hands-on development of AI features such as chunking, embeddings, LLM integration, or RAG pipelines
• Solid frontend experience with React or Next.js
• Strong understanding of vector databases like FAISS, Qdrant, or Azure AI Search
• Proficient in OAuth2 and Azure AD authentication flows
• Experience deploying to Azure using Docker
• Ability to take initiative and communicate effectively in a team setting

Desirable

• Exposure to Azure services including Blob Storage, App Services, Key Vault, and AI Studio
• Experience in higher education, research, or compliance-driven environments
• Familiarity with conversational AI, chat interfaces, and agent frameworks

Why CloudMarc

You’ll be part of a high-performing, agile team focused on real-world delivery. We move fast, solve complex problems, and push the limits of applied AI in the education and enterprise sectors.

Apply directly via LinkedIn or contact the CloudMarc team to learn more.