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Airwallex

Software Engineer Intern (Jan to Jun 2027)

Posted 3 Hours Ago
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In-Office
Singapore
Internship
In-Office
Singapore
Internship
Six-month full-time internship designing, building, testing, and deploying production-ready card issuing and spend card features across backend, APIs, and front-end. Tasks include technical design, feature development, automated testing, observability, production deployment, cross-functional collaboration, and showcasing delivered capabilities under mentor guidance.
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About Airwallex

Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 250,000 businesses worldwide – including Brex, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.

Proudly founded in Melbourne, we have a team of over 2,300 of the brightest and most innovative people in tech across 27 offices around the globe. Valued at US$11 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us.

 
Attributes We Value

We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.

You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next.

 
What You'll Do:

Project scope/overview:

The intern will design, develop, and deploy production-ready capabilities for Airwallex’s Spend Cards and Issuing platform. The project may span card lifecycle management, spend controls, transaction visibility, APIs, or customer-facing card experiences..


Detailed Outline:

Technical tasks/deliverables:

  1. Technical design scoping: Create workflow diagrams, identify dependencies, expected inputs and outputs, and define success criteria (e.g., latency, accuracy, cost).

  2. Feature development: Build and integrate production-ready Cards and Issuing capabilities across backend, APIs, and frontend where needed.

  3. Testing & observability: Add automated testing and set up observability dashboards with logging, metrics, and alerts to monitor performance and reliability.

  4. Deployment: Deploy the completed capability to production and validate it with real users.


Project Milestones:

  1. Technical design sign-off: Finalise workflow diagrams, success criteria, and technical design documentation.

  2. MVP development: Build Cards or Issuing capability and validate key flows.

  3. Production readiness: Complete testing, observability, and integration requirements.

  4. Deployment and showcase: Release the capability and present the outcome to the wider Engineering team.

Expected learning:

  • Card issuing concepts, including card lifecycle, spend controls, and transactions

  • API and distributed systems design

  • Production engineering including testing, observability, and reliability

  • Frontend for customer-facing experiences

  • Building within a global fintech platform


Planned role & responsibilities

  • Actively participate in team standups, sprint reviews, and retrospectives to align with engineering priorities.

  • Collaborate with cross-functional partners (e.g., Operations, Finance, Infosec) to understand workflow requirements and validate outputs.

  • Contribute to code reviews, testing, and documentation.

  • Deliver bi-weekly project updates and participate in mid-point and final showcases to demo project.

  • Design, develop, and deploy an assigned Cards or Issuing project under mentor guidance.

Outline of onboarding process steps in team:

  • Buddy assignment: Pair with a senior engineer/mentor for end-to-end feature lifecycle walkthrough, and weekly technical check-ins.

  • Tools orientation: Setup access to relevant AI and development tools

  • Domain familiarization: Walkthrough of identified finance operational workflows (e.g., cash reconciliation, PO approvals) with relevant domain experts

Proposed schedule of Review Check-ins:

  • Monthly check-in for progress review and feedback sharing

  • Final Review: at 24 weeks (End-of-project showcase)

Eligibility requirements
  • Able to commit to a 6 month placement period, ideally commence in Jan ‘27 through to June 2027.

  • Able to commit to Full Time hours for the duration of the placement.

  • Are a current student in Singapore, studying towards a formal tertiary qualification at a recognised university.

  • Strong verbal and written communication skills.

  • Desire to learn and grow with Airwallex as a technologist.

We’re looking for people who meet the minimum skills and experience for this role. The preferred skills are great to have, but are not mandatory.

Minimum skills & experience:

  • Proficiency in Python, with strong software engineering fundamentals.

  • Ability to design and implement AI-driven systems that automate workflows and improve customer experiences.

  • Strong skills in system design and critical thinking, building elegant abstractions over complex patterns, especially in financial services.

  • Proven track record of writing clean, high-quality, production-grade code and ensuring robust interactions between services.

  • Experience working with production AI systems, adhering to best practices in engineering, security, and AI governance.

  • Excellent communication and collaboration skills, with the ability to partner across technical and non-technical teams.

Preferred skills & experience:

  • Proficiency in Kotlin, Typescript or Javascript.

  • Familiarity with MLOps practices and deployment pipelines for AI-driven products (e.g., model serving, monitoring, retraining).

  • Experience with vector databases, orchestration frameworks (LangChain, Ray, etc.), or event-driven systems (Kafka, RabbitMQ).

  • Exposure to cloud AI/ML services (AWS, GCP, or Azure), including GPU orchestration and scalable model deployment.

Application and Assessment process

Applications are reviewed on a rolling basis with application status changes and outcomes communicated as soon as decisions are finalised. Your patience during this process is highly appreciated.

  • Online technical assessment

  • Talent screen

  • Technical Interview

  • Hiring Manager interview

Requirements: Please provide us with the PDF copies of your transcripts and CV outlining when you finish your studies when applying

About You:
  • You can think on your feet - with knowledge of building platforms which resolve fast paced, ever changing success measures.

  • You are a team player - you enjoy working in a collaborative, innovative and customer first environment.

  • You are naturally curious - always asking why to better understand our customer needs.

  • You are a passionate problem solver - You love digging deep and brainstorming with colleagues in order to come up with the best solution for a problem

Applicant Safety Policy: Fraud and Third-Party Recruiters

To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page.

Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.

Equal opportunity

Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

HQ

Airwallex San Francisco, California, USA Office

Airwallex San Francisco, US Office

188 Spear Street’s superior location is two blocks from the Embarcadero, the promenade running along the SF waterfront, and offers exceptional views and convenience through its easy access to BART, Muni, ferries, the Transbay Terminal, the Bay Bridge and all major freeways.

Sales

This isn’t just another sales role. This is your chance to build the future of global banking with a team that’s built to win. We give top performers the autonomy, the product, and the support to achieve uncapped success.

AI Engineering

Our SF AI Engineering team at Airwallex is building production-grade AI that automates the hardest parts of global finance — from payments and onboarding to reconciliation, bookkeeping, and tax. Sitting on top of our proprietary global payments infrastructure and massive real-time transaction datasets, we design and ship vertical AI systems — from LLM-powered copilots and agentic workflows to fine-tuned models — that reach customers quickly and at scale. We’re a small, senior, zero-ego group with high ownership: engineers work end to end from problem framing and experimentation through to deployment and evals, using the right tool for the job to turn deep AI work into visible, shipped impact.

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