Senior Full-Stack Engineer (m/f/d)

Job description

Our Company "Buying Labs is the leading global partner for sourcing and distributing premium consumer goods!" We're looking for a Senior Full-Stack Engineer (m/f/d) to join our Tech team at our Hamburg headquarters. Our goal is to supercharge how our business works with AI and technology, wherever it makes a real difference. You'll build the systems our teams rely on every day, from internal applications to the data and AI capabilities behind them, and see the impact of your work directly in the business. This is a role for an experienced engineer who takes real ownership: someone who designs solid systems, builds AI into them where it adds value, and drives their work through to production and real users. Your Mission Own systems end to end: Design, build and run features across frontend and backend, from technical approach through deployment and support in production. Build AI into our products: Design and integrate AI-powered features such as structured extraction, classification, automation and agentic workflows. Make them reliable through validation, evaluation and human review where it matters. Data modelling and architecture: Build solid data models in PostgreSQL that serve as the foundation for our applications and AI features. Make architecture decisions that keep our systems maintainable as they grow. Modern and established codebases: Build new applications on our modern stack, and maintain and modernise our established JavaScript platform, which our teams rely on every day. Quality you can stand behind: Write tested, reviewed code and verify your own work before it reaches users. Monitor and troubleshoot production issues. Work closely with the business: Understand the processes behind what you build, work directly with our commercial and operational teams, and help shape what gets built and why. Raise the bar: Share knowledge, Your Profile 6+ years of professional software engineering experience, with a track record of building and running production applications end to end. Proven experience building AI into production systems or applications, for example LLM-based extraction or classification, RAG, or agentic and tool-use workflows. You know how to make AI output reliable through validation, evaluation and fallbacks. Using AI coding assistants alone does not meet this requirement. You use AI tools in your daily development work and have solid…