Senior AI Engineer

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

Benefits

• End of service gratuity
• Private healthcare and life insurance
• Employee assistance program
• Wellness program
• Annual air travel allowance for expatriates
• Regular performance feedback and salary reviews
• Global travel medical and accident insurance
• Referral bonuses
• Learning and development opportunities including in-house training and coaching, professional certifications, and courses

*All benefits and perks are subject to certain eligibility requirements