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AI ENGINEER

Duncan & Ross


Job Location:

Abu Dhabi - UAE

Monthly Salary: Not provided by the employer
Posted: 13 October 2026 (1 hour ago)
Application Deadline: 10 January 2027
Vacancies: 1 Vacancy

Job Summary

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


About Company

Duncan & Ross offers integrated and customer oriented services in different industries such as Automotive, Aerospace, Metro & Railway, Energy, Construction, Manufacturing and Telecom.

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