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AI Product Engineer,Manufacturing,Logistics Systems Full Stack, Next.js+Supabase

Koin Limited
CompanyKoin Limited
CategoryEngineering
LocationBrazil
RemoteRemote
EmploymentFull-time
LevelNot stated
SalaryNot stated by the employer
Posted7 Aug 2026
Last verified8 Aug 2026
SourceEmployer ATS (workable)
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Description
Koin Limited is a fast-growing, multi-brand direct-to-consumer (D2C) e-commerce group headquartered in Poole, UK. The company operates across the UK, USA, Canada, and Australia and is working towards £100 million in annual revenue by 2030.  Koin is an AI-first company. We believe that AI is not a nice-to-have but a fundamental part of how we operate, compete, and scale. We are actively incorporating AI into every element of the business — from marketing and operations to finance and customer experience — and this role sits at the centre of that transformation.  Koin builds and scales digitally-led brands through strong commercial strategy, data-led decision making, and high-performance e-commerce operations.  The brand portfolio includes:  The Koin Club — licensed collectible coins and medallions  Tilly Pig — financial literacy products for children  Jonny’s Sister — personalised gifts and homeware  Bubba Boo — eco-conscious baby, toddler and adult clothing  The Wessex Mint — precious metals savings and investment platform  Pastel Sixteen — contemporary fashion and accessories The AI Product Engineer is a mid to senior level individual contributor responsible for designing, building, and shipping the internal tools, applications, dashboards, and automations that power Koin’s operations. Everything you build ships to real users across the business and directly supports revenue, margin, and operational efficiency.  This is a product engineering role with a difference: we build AI-natively. Claude Code is the primary development environment, and the expectation is that you orchestrate AI to produce production-grade software rather than hand-coding it line by line. You must, however, genuinely understand what is being built. Reading the code, questioning the architecture, and catching what the AI gets wrong is central to the job.  You will take features from an approved Statement of Work through Technical Design Document, build, testing, and deployment on our internal product stack: Next.js applications hosted on Vercel, Supabase as the data layer (Postgres, Row Level Security, edge functions), n8n for workflow orchestration, and GitHub for source control. The wider business runs on NetSuite, Shopify, and Patchworks, and the tools you build will frequently integrate with them.  Beyond product delivery, the role carries responsibility for process automation and for upskilling the wider team: building Claude-powered automations across departments, creating reusable templates and skills, and coaching colleagues so that AI-augmented work is the default across the business, not the exception.  We are looking for someone who gets genuinely excited by new technology, systems, and logic. Someone with a natural problem-solving mindset who sees an inefficient process and immediately starts thinking about how to fix it. Curiosity and initiative matter as much as technical skill.  This role reports to the Head of Systems & Data and works cross-functionally with all departments. Full training will be provided on Koin’s internal systems and tech stack.  Key Responsibilities Process Automation & Workflow Building Identify and prioritise manual, repetitive, or inefficient processes across all departments for automation  Design, build, and maintain Claude-powered automations that deliver measurable time and cost savings  Develop multi-step workflows in n8n that integrate Claude with existing business systems and tools  Design and implement agent-based architectures, including sub-agents and orchestration agents, to handle complex multi-stage business processes  Build and maintain reusable prompt templates, Claude Projects, custom skills, and automation patterns  Training & Team Enablement Design and deliver structured training programmes to upskill team members across all departments in effective AI usa