Back to SearchSenior AI Engineer
Office in United Arab Emirates: Abu Dhabi
AI Solution Engineering& 6 others
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This onsite role in Abu Dhabi is focused on advancing multi-agent systems that integrate seamlessly with enterprise platforms. If you thrive on mandates that drive growth and transformation, you will help shape the next generation of AI-driven healthcare solutions. The work matters because it enables better outcomes for patients and providers in a region committed to progress.
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
Requirements
- 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
- Bachelor’s degree in Computer Science
Nice to have
- Experience with healthcare data standards and interoperability protocols
- Familiarity with agentic AI applications in clinical or operational healthcare settings
- Knowledge of Middle East healthcare regulatory requirements
- Background in deploying AI solutions at scale within enterprise environments