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 2,300 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.

About the Role
You’ll be a core builder in our Risk and Payment team, designing and deploying intelligent systems that automate complex, multi-step workflows. You’ll leverage agentic frameworks, advanced orchestration, and pragmatic model selection to take ideas from whiteboard to production. This position will be embedded in the payment and risk team to build AI solutions improving risk management and payment processing.

What You’ll Do

• Translate business problems into AI agent solutions end to end.

• Architect and deploy AI agents using frameworks like LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, and emerging OSS stacks.

• Apply the right techniques across the AI spectrum including prompting, RAG, fine-tuning.

• Design and optimize agent architectures for reasoning, tool use, and workflow automation.

• Build systems that improve with usage, creating compounding AI flywheels.

• Work with backend and frontend engineers to integrate AI reasoning into secure, production systems.

• Develop advanced evaluation framework and monitoring systems for AI agents to ensure good governance of AI

What You Need to Have

• 2+ years in applied AI/ML engineering with production deployments.

• Strong Python skills and experience with ML frameworks (PyTorch, JAX…).

• Track record of building and deploying AI agents, orchestration frameworks, or multi-step reasoning systems for concrete business problems.

• Understanding of monitoring, evaluation, and iteration in production AI systems.

• Ability to balance innovation with reliability, scalability, and compliance.

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.