AI Engineer

AI Engineer – Multi-Agent SystemsLocation: Abu Dhabi, UAEAbout the RoleA private investment office in Abu Dhabi is expanding its elite technical team to build and own state-of-the-art multi-agent orchestration and agentic infrastructure. You will architect the core systems that enable autonomous AI agents to plan, execute tool calls, retry on failure, and reliably hand off complex workflows in production.Key ResponsibilitiesDesign and build scalable systems for task decomposition, inter-agent communication, and state management.Own sandboxing, guardrails, automated retries, fallback logic, and real-time observability.Build rigorous evaluation pipelines to catch performance regressions before production deployment.Architect reliable retrieval (RAG) and tool-use infrastructure across structured and unstructured data sources.What You BringDeep expertise building with advanced LLM architectures, RAG, agentic reasoning, and multi-agent workflows.A clear grasp of where standard agent frameworks (e.g., standard ReAct loops) break down, and how to engineer resilient workarounds.Background in financial services, investment management, fintech, or high-throughput engineering environments (advantageous).Active open-source contributions, AI research publications, or relevant patents are highly valued.Tech StackLangGraph, AutoGen, or custom agent frameworksModel Context Protocol (MCP), Vector Databases (Pinecone, Qdrant, Chroma, etc.), Hybrid SearchPython (PyTorch/TensorFlow, AsyncIO, FastAPI)Compensation & BenefitsHighly competitive, tax-free base salaryDiscretionary performance-based annual bonusFull visa sponsorship and premium relocation packageComprehensive private health insurance and dependent schooling allowancesHow to ApplyIf you want to build cutting-edge agentic infrastructure in a high-performance environment, apply now or reach out directly to Syed at syed@durlstonpartners.com.