Software engineer

**🌍 About Yayloh** At Yayloh, we are on a mission to make e\-commerce sustainable. The fashion industry faces a massive environmental challenge: high return rates lead to unnecessary transport, waste, and a staggering carbon footprint. We build the digital infrastructure that helps brands understand *why* returns happen, reducing waste and helping the planet one return at a time. We are a small, agile team where data\-driven decisions meet environmental impact. **🛠️ The Role: Backend with a Fullstack Heart** We are looking for a **Master’s Graduate (** **M.Sc** **.)** with a 5\-year background in Computer Science or equivalent, to help build the future of sustainable retail. While your core focus will be our **Python** and **MySQL** backend, we operate with a "get it done" mindset. This means you’ll occasionally step into our **React/TypeScript** frontend or even into our **AWS infrastructure** to ensure a seamless experience for our merchants. You aren’t just a coder; you’re a problem solver who uses the best tools available—including AI—to build elegant, scalable solutions. **💎 What We Offer** * Purpose: Work on a product that directly reduces carbon emissions and textile waste. * Balance: 5 weeks of paid vacation to recharge. * Future: Employee stock options – we want you to own a piece of the impact you create. * Security: Service pension (Tjänstepension) and competitive benefits. * Growth: A high\-autonomy environment where you can influence the tech stack and product roadmap. **📋 Requirements** * Education: A recently completed Master’s degree (M.Sc.) in Computer Science or equivalent. * Right to Work: You must currently hold the legal right to work in Sweden. * Tech Interests: Proficiency in (or a strong desire to master) Python, MySQL, and React/TypeScript. * Critical Thinking: The ability to look at an AI\-generated solution and ask, "Is this actually efficient, or just shiny?" **🚀 The "AI\-Human Collaboration" Application** We don't want a standard cover letter. We want to see how you work with the tools of the future. To apply, please submit a link to the working **prototype** and the **GitHub repository** of a project you’ve built (any tech stack). **In your README or commit history, you must highlight:** * AI Usage: How you used AI (Cursor, Copilot, LLMs) to build the project. * The "Hallucination" Commit: Link to at least one specific commit where the AI failed—either by suggesting a "Rube Goldberg" solution (too complex) or by hallucinating a library/logic. * The Fix: Show us how you caught the error and how you simplified or corrected the code in the followup commits. **Why this?** Because at Yayloh, we value the human engineer who directs the AI, not the one who follows it blindly.