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