Job description

About the job AI ENGINEER

AI Engineer / Multi-Agent Systems

We are seeking experienced AI Engineers to design, develop, and deploy intelligent Copilots and multi-agent systems using Azure AI Foundry, OpenClaw, Microsoft Agent Framework, Databricks agentic components, and other custom multi-agent frameworks. You will build domain-specific AI agents that enhance productivity and clinical decision-making across healthcare operations.

Key Responsibilities

• Design and develop AI agents using Azure AI Foundry, OpenClaw, Microsoft Agent Framework, Databricks agentic components, and custom multi-agent frameworks
• Build and orchestrate scalable multi-agent workflows and pipelines with robust error handling, observability, and fallback strategies
• Extend and configure OpenClaw as a multi-channel AI assistant runtime, building custom skills, integrating with enterprise messaging surfaces, and managing gateway configuration and agent routing
• Implement agent orchestration patterns including skills/tools, memory management, context persistence, and handoff protocols
• Design and deploy RAG-based knowledge systems using Azure AI Search and open-source vector stores
• Integrate solutions with Power Platform, Microsoft 365, and external services via standard connectors and custom APIs

Required Qualifications

• 8+ years of software development experience, including 3+ years building AI or agent-based systems
• Hands-on experience with Azure AI Foundry, Azure OpenAI, and Azure AI services
• Proven experience building multi-agent systems using frameworks such as Microsoft Agent Framework, Databricks agentic capabilities, LangChain, LangGraph, or equivalents
• Experience with OpenClaw, including skill development, multi-agent session routing and channel integrations
• Experience implementing RAG architectures, knowledge grounding, and retrieval optimization
• Strong skills in LLM system design and instruction architecture, including system message design, few-shot structuring, chain-of-thought patterns, and behavioral guardrails
• Proficiency with Power Platform and Microsoft 365 integrations
• Solid grasp of APIs (REST/Graph), CLI tooling, MCP protocols, and data pipeline integration
• Experience with Azure DevOps, CI/CD pipelines, and MLOps/LLMOps practices

Location: Abu Dhabi, UAE (on-site) | Duration: 3 months | Start: ASAP, subject to security clearance | Language: Arabic speakers preferred

Vertical:

Technology