Applied AI Engineer (m/f/d)

Shopware is a leading ecommerce system that enables companies worldwide to scale quickly and efficiently in digital commerce.  

In this role, you’ll be part of the Agentic Commerce Lab, a startup-like team within our scale-up, dedicated to exploring how agentic systems will shape commerce by 2030. We build new products, run fast experiments, and prove what is possible. 
Join us on the zero-to-one journey and shape the future of commerce as part of a strategic moonshot at Shopware. This is not a "wait for requirements" kind of role. You operate as an entrepreneur inside Shopware, acting like an owner. You will drive ideas from inception to production. 

We are looking for an AI Native Applied Engineer with strong full-stack capabilities and a frontend focus to join our engineering team. In this role, you will design and build modern, AI-powered product experiences while working across the entire technology stack. On the frontend, you should have solid experience building scalable interfaces using Vue.js, Next.js, JavaScript, or TypeScript, with a strong focus on performance, usability, and maintainable architecture. On the backend, you should be comfortable developing services and APIs using Python or PHP or Golang, and collaborating closely with product, design, and AI teams to integrate intelligent features into real-world applications. The ideal candidate enjoys working in a fast-moving environment, building high-quality user experiences, and leveraging AI technologies to deliver impactful product capabilities.
This position can be filled on-site, hybrid, or full-remote within Germany or specific European countries where we are registered. Your work location will be agreed upon in advance and forms the basis of your employment contract. 

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• Product mindset: You care about outcomes, not just outputs, and design with merchants, shoppers, and developers in mind. 

• Collaborative spirit: Open to learning from and co-building with peers inside and outside Shopware. 

• Product engineer mindset: You care about merchant outcomes, not just technically elegant solutions. 

• Learn-by-building bias: You prefer spinning up a prototype to reading documentation, then document what you discover.