Software Engineer Intern (Jan to Jun 2027)
Airwallex is hiring a Software Engineer Intern (Jan to Jun 2027) in Singapore, Singapore. Level rates it ; you can apply on Airwallex.
Level's read on this job
- Level rates this software engineer role Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include LangChain and MLOps.
- Level classifies it as an internship.
- Level lists 507 other open roles at Airwallex.
AI in this role
About Airwallex
Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own.
We started in Melbourne in 2015 to build the infrastructure global commerce runs on. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific.
We're co-headquartered in San Francisco and Singapore, with more than 2,700 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read our operating principles to see it in full.
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:
Technical design scoping: Create workflow diagrams, identify dependencies, expected inputs and outputs, and define success criteria (e.g., latency, accuracy, cost).
Feature development: Build and integrate production-ready Cards and Issuing capabilities across backend, APIs, and frontend where needed.
Testing & observability: Add automated testing and set up observability dashboards with logging, metrics, and alerts to monitor performance and reliability.
Deployment: Deploy the completed capability to production and validate it with real users.
Project Milestones:
Technical design sign-off: Finalise workflow diagrams, success criteria, and technical design documentation.
MVP development: Build Cards or Issuing capability and validate key flows.
Production readiness: Complete testing, observability, and integration requirements.
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.
How we rate this
Software Engineer Intern (Jan to Jun 2027) at Airwallex rates 8 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical software engineer job
- $168k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- How do you monitor a model once it's live, and how do you know it needs retraining?
- Walk me through how you've used LangChain in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: ML Ops and LangChain. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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