AI Agent Systems Builder — E-Commerce Operations & Automation

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h3AI Agent Systems Builder — E-Commerce Operations Automation /h3ulli$80k – $120k No equity /liliRemote: Everywhere /liliNo experience required /liliFull Time /li /ulh3About the job /h3ullibIn the box, please describe an AI agent system you've built that runs in production — see the last section below for details. /b /liliWe are currently not seeking candidates outside of US time zones. /liliPlease do not contact us directly outside of this platform. /li /ulpbAbout us /b /ppHelfen Company is a founder-operated e-commerce business behind two fashion accessory brands, Archer Watch Straps and Downholme. We sell on Amazon and Shopify across the US, UK, EU, and Canada as a lean two-person team, with over a million products sold and years of steady growth. /ppbWhat we're looking for /b /ppWe want to run much of our business through a well-designed system of AI agents: a structured team of agents that handle purchasing, inventory, marketplace upkeep, reporting, and documentation in the background, with people stepping in where judgment matters. /ppWe've built some automations ourselves, but we don't want to experiment our way there and rebuild everything in six months. We're looking for someone who has balready built agent systems that run real operations /b and can be our guide: someone with a clear, tested view of how to structure agents, how they coordinate, and how they share memory. /ppbWhat you'll do /b /pulliDesign and build a multi-agent system that runs core operations: replenishment and purchase orders, inventory and shipment tracking, marketplace listing health, and reporting /liliDesign the memory and context architecture: what each agent and each person knows, what's shared, how context is separated and stored,



and how it stays current over time /liliBuild in the right human checkpoints, safeguards, and logging so the system can be trusted with real money and real customers /liliLearn our operations firsthand and help run them, so you understand the work the agents are doing /liliDocument the system so it can be understood, maintained, and extended /li /ulpbWho you are /b /pulliYou have built and run at least one agent system in production, ideally more than one, and can walk us through its architecture, what broke, and what you'd do differently /liliYou have a strong, practical point of view on agent memory and shared context /liliYou write real code and are fluent with AI coding tools /liliE-commerce, logistics, or operations experience is a strong plus, but not required /liliUS time zone required, US-based preferred /li /ulpbCompensation and benefits /b /pulli$80,000–$120,000 depending on experience /liliAnnual premio, likely tied to company performance /liliAnnual learning and tools budget /liliQSEHRA health benefit (monthly contribution toward a health plan of your choice) /liliFully remote, with some paid travel early on to learn operations firsthand /li /ulpbPlease include with your application /b /ppDescribe an agent system you've built that runs in production. What does each agent do, and how do they coordinate? How is memory and context stored, and how is it shared between agents and between people? What would you change if you built it again? Links, demos, or diagrams are welcome. /ppbSkills /b /pulliPython /liliSQL /liliInventory Management /liliAmazon Web Services /liliGoogle Apps /liliLogistics and Supply Chain /liliShopify /liliAmazon Seller Central /liliAmazon (Inventory, Order Fulfillment FBA FBM, PPC) /liliGenerative AI /liliLangChain /liliClaude Code /li /ul #J-18808-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8kqdam