AI ENGINEER
Коротко
Designs and deploys AI Copilots and multi-agent systems using Azure AI Foundry, OpenClaw, Microsoft Agent Framework, and Databricks agentic components for · Needs: 8+ years software development including 3+ years AI/agent systems; Azure AI Foundry/OpenAI; multi-agent frameworks; OpenClaw; RAG architectures.
Описание от работодателя
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