Software Engineer Intern (Jan to Jun 2027)

The role

You will design, build and deploy production features for Airwallex's Spend Cards and Issuing platform, covering card lifecycle, spend controls, transactions, APIs or customer-facing card experiences. You will work under mentor guidance and present the finished project to the wider Engineering team.

What you will do

• Scope the technical design: workflow diagrams, dependencies, inputs and outputs, success criteria.
• Build and integrate Cards or Issuing capabilities across backend, APIs and frontend where needed.
• Add automated testing and observability dashboards with logging, metrics and alerts.
• Deploy the completed capability to production and validate it with real users.
• Take part in standups, sprint reviews and retrospectives.
• Collaborate with Operations, Finance and Infosec partners on workflow requirements.
• Contribute to code reviews, testing and documentation.
• Deliver bi-weekly project updates and present at mid-point and final showcases.

Required qualifications

• Able to commit to a 6-month placement, ideally starting January 2027 through June 2027.
• Able to commit to Full Time hours for the whole placement.
• Current student in Singapore studying toward a formal tertiary qualification at a recognised university.
• Strong verbal and written communication skills.
• Proficiency in Python with strong software engineering fundamentals.
• Ability to design and implement AI-driven systems that automate workflows and improve customer experiences.
• Strong system design and critical thinking skills.
• Track record of clean, high-quality, production-grade code and robust service interactions.
• Experience working with production AI systems, following best practices in engineering, security and AI governance.
• Excellent communication and collaboration skills across technical and non-technical teams.

Nice to have

• Proficiency in Kotlin, TypeScript or JavaScript.
• Familiarity with MLOps practices and deployment pipelines for AI-driven products.
• Experience with vector databases, orchestration frameworks (LangChain, Ray) or event-driven systems (Kafka, RabbitMQ).
• Exposure to cloud AI/ML services (AWS, GCP or Azure), including GPU orchestration and scalable model deployment.

Before you apply

• Must be a current student in Singapore at a recognised university.
• Must commit to Full Time hours for the 6-month placement.
• Submit PDF copies of your transcripts and CV showing when you finish your studies.
• Process includes an online technical assessment, talent screen, technical interview and hiring manager interview.
• Applications are reviewed on a rolling basis.

About the company

Airwallex is an AI-native financial operating system used by more than 675,000 businesses, founded in Melbourne in 2015. It has more than 2,700 people across 27 offices, with co-headquarters in San Francisco and Singapore.