Senior Software Engineer, AI-Native Development

qlub; United States; Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Ownership impact

Challenging problems

Fast-moving environment

Collaborative team

Global impact

Job summary

qlub is scaling payments technology for restaurants worldwide. As a Software Engineer, you will design, build, and operate secure payment services and AI-powered workflows, integrating with POS systems and payment providers.

You’ll use AI-assisted development across the lifecycle while maintaining high standards for security and reliability. You’ll work with engineers, operators, and partners to turn frictionless payments into growth, with ownership from day one in a fast-growing fintech

Qualifications

• Production‑grade software experience.
• Fluency in English is required.
• Strong problem solving and communication skills.
• Golang development experience.
• Hands-on with LLM APIs, tool calling, retrieval generation, or agentic workflows.
• Experience designing secure, scalable software solutions.
• Solid knowledge of REST APIs, microservices, asynchronous processing and distributed systems.
• Proficiency in databases, data modelling and design.
• Experience with POS systems, payment providers, or complex third‑party integrations.
• Experience building or integrating production AI applications.
• Understanding AI-system risks including hallucinations and prompt injection.
• Experience with automated testing, observability, debugging and performance optimization.

Responsibilities

• Design, build, operate secure, scalable payment services and workflows.
• Maintain integrations with POS systems, payment providers, and partners.
• Utilize AI‑assisted development tools for all stages of the software lifecycle.
• Develop AI‑powered workflows that retrieve data, call tools, and act.
• Implement permissions, guardrails, observability, and safe fallbacks for agentic systems.
• Identify bottlenecks and improve speed, reliability, security, and cost efficiency.
• Write clean, tested, well‑documented code following security best practices.
• Participate in technical design discussions and standards.

Skills

Golang

LLM APIs

REST & microservices

Databases design

POS integrations

AI applications

Testing & observability

AI risk awareness

English fluency

Problem solving

Job description

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.

The role

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.

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 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

Who you are

• 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

What you’ll need

• 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

Nice to have

• Experience in payments, fintech, hospitality tech, or a high-growth marketplace
• 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/ modern frontend development experience

What we offer

• Real ownership over products that impact millions of diners and thousands of restaurants globally
• The opportunity to solve challenging problems in payments, hospitality, and customer experience
• A fast-moving environment where great ideas quickly become reality
• Close collaboration with experienced operators, builders, and industry experts
• A chance to leave a visible mark on one of the fastest-growing restaurant technology companies globally

Ready to build?

Join us and help shape how the world pays at the table.