AI ENGINEER

Duncan & Ross Consulting; Abu Dhabi; On-site; AED 400,000 - 700,000; Full time

Job summary

Duncan & Ross Consulting seeks an experienced AI Engineer to design, develop, and deploy intelligent Copilots and multi-agent systems for healthcare operations in Abu Dhabi. The role emphasizes scalable workflows, robust error handling, and integration with enterprise platforms.

You will leverage Azure AI Foundry, OpenClaw, and Microsoft frameworks to build domain-specific agents, ensure security clearance, and deliver impactful AI-enabled decision support.

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.
• 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.

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

Skills

Software development

AI / agent-based systems

Azure AI Foundry

Azure OpenAI

OpenClaw

LangChain

LangGraph

Databricks agentic components

Microsoft Agent Framework

Power Platform integrations

Microsoft 365 integrations

REST/Graph APIs

MLOps/LLMOps

Azure DevOps

Tools

Azure DevOps

Azure AI Foundry

OpenClaw

Microsoft Agent Framework

LangChain

LangGraph

Databricks

Job description

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