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qlub is a fast-scaling fintech backed by Mastercard, Mubadala, e&, and Shorooq. The company has raised $72M and operates across multiple markets worldwide, with headcount doubling in the past year. qlub removes friction from the restaurant payment experience—guests scan a QR code and pay in seconds, with no app download or waiting required. The platform spans Pay-at-Table, Digital Menus, Order-and-Pay, Payment Links, and SoftPOS terminals.
As a Senior Software Engineer in AI-Native Development, you will drive 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.
Key responsibilities include:
- 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 third-party platforms
- Use AI-assisted development tools throughout the software development lifecycle for discovery, implementation, debugging, testing, code review, documentation, and refactoring
- 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 speed, reliability, security, and cost efficiency of payment and AI-powered workflows
- Write clean, maintainable, tested, and well-documented code following software engineering and financial-system security best practices
- Contribute to technical design discussions, architecture decisions, engineering standards, and continuous improvement
You thrive in fast-moving, build-from-scratch environments, move fast with incomplete information, take real ownership, and think like an operator. 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 judgment.
Requirements:
- Proven experience building production-grade software applications in fast-moving, high-growth environments
- Fluency in English (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 modeling, 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 behavior, and unsafe tool execution
- Experience with automated testing, observability, debugging, and performance optimization
Nice to have:
- Experience in payments, fintech, hospitality tech, or high-growth marketplaces
- Experience with payment gateways, transaction processing, settlement, reconciliation, or chargeback systems
- Experience building AI agents that interact with APIs, databases, internal tools, or operational workflows
- Familiarity with model evaluation, prompt management, AI observability, guardrails, or LLM cost optimization
- Exposure to vector databases, embeddings, semantic search, or retrieval systems
- Experience with cloud platforms, containerized services, CI/CD, and infrastructure-as-code
- Familiarity with PCI DSS, data privacy, and secure software-development practices
- React or modern frontend development experience
