Job Description

Our Client is hunting for its next product engineer, someone who has a strong desire to build, smart enough to untangle gnarly problems fast, and bold enough to ship data-powered retail features that move the revenue needle today.
They're scaling from 12 to 50 stores, spinning up a headless commerce stack (MedusaJS + AWS), and launching our first customer-facing app. If you want to own big chunks of that journey and write the playbook for modern, AI-assisted development in African retail read on.
About Our Client
They buy overrun, overstock and returned apparel from Europe's biggest fashion houses, revive it, and give it a second life in emerging markets.
Their mission: To be the world's most innovative fashion outlet
Physical footprint: 12 stores (SA) 20 stores by year-end
Tech footprint: AWS-native, React, Next.JS, React Native, TypeScript, Python, MedusaJS
Data obsession: They're building a real-time lake, ML-powered buying tools, and an offline-first POS because smarter data = better buying = more sales .
Role Overview
You'll own features end-to-end from first sketch to metrics dashboards while leaning heavily on AI coding copilots and tools to keep velocity extreme and busy-work minimal.
What You'll Do
AI-Native Development
Context Engineering
Develop, orchestrate and refine AI agents for boilerplate and tests.
Drop into "manual mode" with serious engineering firepower when the bots tap out. * Share prompt and context-engineering tricks and workflows with the team.
Become an AI-enabled weapon!
Product Engineering & Ownership

• Drive features across our stack; MedusaJS plug-ins, APIs, React Native UIs, Lambda data jobs.

Define success metrics, instrument them, and iterate fast.
Pair with product & design on continuous discovery (we interview store staff and customers weekly).
Composable Commerce & Integrations

• Extend our headless core: catalog, cart, checkout, BNPL (Payflex, PayJustNow), inventory sync.
• Craft robust integrations with ERPNext, payment gateways, and warehouse scanners.

Keep everything observable (OpenTelemetry traces, k6 smoke tests).
Customer & Stakeholder Loop

• Sit in on buying-team stand-ups, warehouse floor walks, and store pilots.
• Present concepts, prototypes, and learnings to non-technical stakeholders.

What We Offer

• Build at the frontier: Green-field MACH architecture, Computer Vision, live retail environments, AI-accelerated workflows and much more!
• Real ownership: You'll ship to stores & customers within weeks, not quarters.
• Career rocket-fuel: Scale with us from 12 to 20 stores and beyond; carve out your own lane (staff engineer, tech-lead, architect). We're pre-Series A and cooking
• Hybrid/Remote flexibility: Cape Town, ~2 in-office days/week for deep collaboration & store visits or fully remote with periodic in-office or store visits.
• Competitive package: Competitive salary, store allowance/discounts (look good, feel good - *coming soon).

Who Thrives Here
You've shipped real products and improved them post-launch.
Complexity excites you, integrations, inventory math, syncing offline data.
You treat AI tools as teammates, not magic.
"Good enough to ship" beats "perfect later," but you refactor ruthlessly. * You want your code to drive tangible revenue, not just close Jira tickets.
If this sounds equal parts thrilling and terrifying, you're probably our kind of engineer.

Skills Required