AI Workflow Engineer

Responsibilities:

• Relayed by an FD Creative, product, or brand debrief and build the system that answers it, without needing to have been in the original room.
• Build full pipelines for product photos, video, and content using n8n, Make, Zapier, Retool, Airtable or plain code, whichever gets it done.
• Connect systems using APIs, webhooks, and code in JavaScript, TypeScript, or Python until the thing runs on its own, unattended.
• Talk to whoever relayed the brief FD Creative, product, sometimes the brand directly clearly enough that nothing gets lost in translation.
• Fix it when it breaks, even without a live meeting forcing the issue.
• Write down how it works. Flag when a one-off has earned a permanent spot as a ShopOS feature.
• Care enough that it still runs six weeks later, without anyone babysitting it.

Requirements:

• Required: 1-3 years building automations, integrations, or internal tools.
• Comfortable with n8n, Make, Zapier, Retool, Airtable or similar tools, and just as comfortable with raw APIs and code once the no-code tool runs out of road.
• Can write real, working code in JavaScript, TypeScript or Python.
• A good eye. You look at an AI photo and know exactly what's off: the light, the crop, the colour. You don't need to defend that judgment live to a client, but you need to have it.
• Good communication. You can take a brief secondhand from an FD Creative, a product spec, a call recording and ask the right question instead of guessing.
• Comfortable working without a client in the room. This is a build-first role.
• Nice to have: time spent in ecommerce, D2C brands, creative production, marketing, or the Shopify world.
• Have built AI agents or multi-step AI pipelines before, past calling an API once.
• Shipped real work using image or video AI tools, past trying them for fun. Some client-facing exposure, even informally, useful if you want to grow toward ForwardDeployed Creative later.