Software Engineer - AI Native Development

Why qlub

The 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.

qlub 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.

• 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 that can retrieve data, call tools, interact with internal systems, and execute controlled actions
• Implement appropriate permissions, human approvals, guardrails, observability, auditability, and fallback mechanisms for agentic systems
• Identify performance bottlenecks and improve the speed, reliability, security, and cost efficiency of payment and AI-powered workflows
• Write clean, maintainable, tested, and well-documented code that follows software engineering and financial-system security best practices with AI
• Contribute to technical design discussions, architecture decisions, engineering standards, and continuous improvement across the team

• You’ve done this before in a fast-moving, high-growth environment
• You move fast and make strong decisions with incomplete information
• You take real ownership and think like an operator, not a coordinator
• You're energized by hard problems in payments, hospitality, and customer experience
• You use AI development tools pragmatically to improve speed and quality without compromising security, maintainability, or engineering judgement
• You collaborate effectively with engineers, product teams, operations teams, and external technical partners

• Proven experience in building production-grade software applications
• Fluency in English is a must
• Excellent problem-solving and communication skills
• Hands-on experience with Golang
• Practical experience with LLM APIs, tool calling, retrieval-augmented generation, or agentic workflows
• Experience designing and implementing secure and scalable software solutions
• Strong knowledge of REST APIs, microservices, asynchronous processing, and distributed systems
• Proficiency in databases, data modelling, and database design concepts
• Experience with POS systems, payment providers, or complex third-party integrations
• Experience building or integrating production AI applications
• Understanding of AI-system risks, including hallucinations, prompt injection, data leakage, non deterministic behaviour, and unsafe tool execution
• Experience with automated testing, observability, debugging, and performance optimization

• Experience in payments, fintech, hospitality tech, or a…