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Senior Software Engineer, AI-Native Development

Qlub · Berlin, Germany

Publicada em 13/10/2026

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Why qlubThe end of a great meal shouldn't be the slow part. Waiting for the check, finding someone to take payment, splitting a bill by hand. qlub removes that friction. Guests scan a QR code and pay in seconds. No app, no download, no waiting.From Pay-at-Table and Digital Menus to Order-and-Pay, Payment Links, and SoftPOS terminals, we handle the full payment experience so restaurants can focus on what they do best: great hospitality. Less friction means faster table turnover, smoother operations, and higher profit.We're a fast-scaling fintech backed by Mastercard, Mubadala, e& and Shorooq. $72M raised, live across multiple markets worldwide, and headcount doubled in the past year. We're building the teams that take us to the next stage.The roleqlub is scaling fast across markets worldwide, and we look for people who take real ownership of their work. As our next Software Engineer, you'll help drive our growth in engineering platforms by building, shipping, and delivering results from day one.You'll work closely with engineers, operators and partners to turn frictionless payments into real growth for restaurants.You will also use AI-assisted development practices throughout the software development lifecycle and contribute to AI-powered and agentic systems that can reason, retrieve information, use tools, and execute controlled workflows.If you thrive in a fast-moving, build-from-scratch environment, this role is for you.What you’ll own• Design, build, and operate secure, scalable, and highly reliable payment services, including payment gateways, transaction processing, reconciliation, and settlement flows• Build and maintain integrations with POS systems, payment providers, financial partners, and other third-party platforms• Use AI-assisted development tools for discovery, implementation, debugging, testing, code review, documentation, and refactoring while maintaining strong engineering quality standards• Design and develop AI-powered and agentic workflows t
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