Software engineer

🌍 About YaylohAt 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 HeartWe 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" ApplicationWe 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.