Microsoft AI Engineer - Abu Dhabi - 12 Month Contract
Role: AI Engineer (Microsoft Stack)
Duration: 12 month extendable contract
Location: Abu Dhabi
Salary: AED 18,000 per month + VISA + Healthcare
Our client are looking for a Microsoft AI Engineer who is an expert in Pro-Code AI development to lead the architecture and implementation of their customers enterprise-grade agentic systems.
The ideal candidate lives in the Microsoft AI Platform ecosystem but approaches development with a software engineering mindset prioritizing scalability, security, and complex multi-agent orchestration.
Key Responsibilities
- Architect and develop complex multi-agent systems using the Microsoft Agent Framework (integrating patterns from Semantic Kernel and AutoGen).
- Implement Agent-to-Agent (A2A) communication and Model Context Protocol (MCP) to allow agents to discover and invoke enterprise tools dynamically.
- Build robust RAG (Retrieval-Augmented Generation) pipelines using Azure AI Foundry IQ and Azure AI Search for high-accuracy, multi-hop reasoning
- Design hybrid orchestration models: combining Agentic Reasoning (dynamic) with Workflow Orchestration(deterministic business logic).
- Deploy and manage the Foundry Citadel Platform to ensure unified governance, cost control, and observability across all AI workloads.
- Utilize Citadel's Agent-Level Tracing and automated evaluations to monitor performance and compliance in real-time.
- Develop custom, responsive user interfaces using React or Streamlit that allow humans to interact with, supervise, and steer AI agents.
- Integrate agentic workflows into existing surfaces like Microsoft Teams, custom web portals, or the VS Code AI Toolkit.
Must Have Skills
- Azure AI Foundry (Studio/Hub), Azure OpenAI Service.
- Advanced Python (FastAPI/Pydantic) and/or C# (.NET 8+).
- Microsoft Agent Framework, Semantic Kernel, or AutoGen
- Foundry IQ, Azure AI Search (Vector/Hybrid), Cosmos DB
- Citadel (Foundry Citadel Platform), Microsoft Purview, or AI Content Safety is preferred.
- React.js, Tailwind CSS, and experience with streaming LLM responses.
