Agentic AI Systems Engineer
๐๐ฑ๐ฉ๐๐ซ๐ข๐๐ง๐๐: 4+ Years
๐๐๐ง๐ข๐จ๐ซ๐ข๐ญ๐ฒ: Senior Engineer (production experience required)
๐๐จ๐ ๐๐ฒ๐ฉ๐: ๐ผ Full-Time (Onsite)
๐๐จ๐๐๐ญ๐ข๐จ๐ง: ๐ Dubai, United Arab Emirates
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๐๐จ๐ฆ๐ฉ๐๐ง๐ฒ ๐๐ฏ๐๐ซ๐ฏ๐ข๐๐ฐ
Our client is building an AI-first logistics platform for Dubai, covering deliveries, relocations, commercial moves, specialist vehicles, water tankers, and recovery trucks. They have a live MVP and a clear financial model targeting operational breakeven within six months.
Their differentiator is Amo, an agentic AI orchestration layer that captures intent, calculates pricing, selects vehicle and helper configuration, allocates time slots, and orchestrates dispatch in real time. This is not a chatbot role, it is structured AI orchestration tied to real operations.
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๐๐จ๐ฅ๐ ๐๐ฎ๐ฆ๐ฆ๐๐ซ๐ฒ
We need a hands-on Agentic AI Systems Engineer to design and run the orchestration layer that connects conversational input to deterministic pricing, vehicle selection, and dispatch allocation. You will work directly with founders and operations to keep a live city-scale fleet reliable.
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๐๐๐ฒ ๐๐๐ฌ๐ฉ๐จ๐ง๐ฌ๐ข๐๐ข๐ฅ๐ข๐ญ๐ข๐๐ฌ
- Build structured multi-step agent workflows with tool calling and state management
- Integrate pricing engine, vehicle eligibility rules, slotting, and dispatch allocation systems
- Implement WhatsApp Business API and other messaging entry points
- Add logging, evaluation, and observability to explain AI decisions end-to-end
- Design guardrails, fallbacks, and human override paths for live operations
- Improve orchestration based on real job outcomes and operational metrics
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โ ๐๐ฎ๐ฌ๐ญ-๐๐๐ฏ๐ ๐๐ฑ๐ฉ๐๐ซ๐ข๐๐ง๐๐ & ๐๐ค๐ข๐ฅ๐ฅ๐ฌ
- Production experience shipping AI systems (not demos)
- Strong backend engineering in Python (APIs, workflows, state, reliability)
- Hands-on with LangChain, LangGraph, or similar agent frameworks
- Clear separation of deterministic business logic vs probabilistic AI reasoning
- Strong APIs, webhooks, event-driven systems, and cloud deployment experience
- Ability to design operational validation, monitoring, and incident-safe automation
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๐ค ๐๐ฎ๐ฅ๐ญ๐ฎ๐ซ๐๐ฅ ๐ ๐ข๐ญ
- Reliability-first mindset for a live fleet operating in a complex city
- Comfortable in early-stage, founder-led execution with high ownership
- Pragmatic engineer who balances AI capability with real logistics constraints