Software Engineering Intern (AI)

Location: Singapore; on-site

Company

Airwallex is an AI-native financial operating system and regulated financial infrastructure provider for global payments and financial products, serving more than 675,000 businesses.

What you will do

• Own one scoped software engineering project end to end during the 12-week internship.
• Apply software engineering fundamentals and pragmatic best practices to build simple, scalable solutions.
• Work with a mentor and manager while contributing to engineering team projects and roadmap discussions.
• Use LLM-powered tools for research, prototyping, debugging, testing, and documentation with critical judgment.
• Work with a modern stack including Kotlin, Kafka, Kubernetes, and React.
• Present the completed project to Airwallex teams in a final project showcase.

Requirements

• Penultimate-year or final-year Bachelor's or Master's student, or currently undertaking a PhD, in Computer Science, Software Engineering, or an equivalent field.
• Knowledge of computing and object-oriented programming fundamentals.
• Strong verbal and written communication skills.
• Ability to think on your feet and solve problems in fast-changing environments.
• Collaborative, curious, customer-focused, and passionate about problem solving.
• Enthusiasm for AI’s impact on software engineering and willingness to explore tools and models thoughtfully and responsibly.
• Desire to learn and grow as a technologist.

Culture & Benefits

• 12-week on-site internship in Singapore during the Singapore University summer break, starting in early May and ending in late July.
• Structured first-week induction, three program reviews or check-ins, personal mentorship, and cohort-based knowledge sharing.
• Hands-on access to modern engineering tools and AI-assisted workflows.
• Competitive rewards and benefits, on-site snacks and drinks, lunch credits, and a paid birthday day off.
• Many interns receive an Airwallex graduate role after completing the program.

Hiring process

• Submit an application with a current CV and the latest PDF academic transcript, including the expected study completion date.
• Complete an online technical assessment, talent screen, live coding interview, and hiring manager interview.
• Interviews may assess problem solving with and without AI assistance, evaluation of AI-generated suggestions, and practical curiosity about new models and tools.