Intern AI Engineer - Intern Placement

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 150,000 businesses worldwide – including Brex, Rippling, 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 1,800 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$6.2 billion and backed by world-leading investors including Visa, Airtree, Blackbird, Sequoia, DST Global, Greenoaks, Salesforce Ventures, Lone Pine, and Square Peg, 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.

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.

The Engineering team at Airwallex is a diverse group of innovators, builders, and problem solvers, driven by a mission to empower businesses to operate anywhere, anytime. We thrive in a collaborative and fast-paced environment, where we're constantly pushing the boundaries of what's possible in the financial technology space. As a team, we value technical craftsmanship, continuous learning, and a strong sense of ownership, working together to build scalable, reliable, and secure products that empower businesses of all sizes to grow without borders.

Project scope/overview:

The intern will design, develop, and deploy AI-powered workflows that automate critical internal processes at Airwallex. The intern will build production-ready agents, integrate them with existing Airwallex tools (e.g., Databricks, Salesforce), and deploy them for live internal use by selected pilot teams.

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. Agent development: Build and integrate AI agents (e.g., finance flux analysis agent) with multi-agent orchestration as needed, complying with infosec guardrails

3. Evaluation & observability: Develop evaluation framework and set up observability dashboards with logging, metrics, and alerts to monitor agent performance and reliability.

4. Deployment: Deploy working agents that have passed success criteria, in production environments for pilot

Project Milestones:

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

2. MVP Agent development: Build and integrate AI workflow agents with initial test runs on sandbox data.

3. Evaluation and observability setup: Develop evaluation framework and set up observability dashboards with logging, metrics, and alerts to monitor agent performance,

4. MVP deployment and showcase: Deploy working agents for pilot team access, and showcase to AI team and VP of Data and AI.

Expected learning:

• Prompt engineering patterns e.g., structured outputs, few-shot, tool-calling

• Evaluation best practices e.g., using LLM-as-a-Judge approaches for automated evals

• LangFuse for observability, to track key metrics and debug issues

• React framework for frontend development

• LangChain / LangGraph for multi-agent orchestration and workflow graphs

• Model Context Protocol (MCP) for standardising tools for agents

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 working agents.

• Design, develop, and deploy assigned AI agents end-to-end under mentor guidance.

• Share learnings and recommendations for scaling agentic workflows beyond MVP

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)

• Able to commit to a 6 month placement period, ideally commence in December 2025 through to June 2026.

• 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

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.

• Application submission including your current resume and academic transcript/s.

• 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

• 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

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.

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. If you are approached by someone claiming to represent Airwallex, please verify with our team.