AI Engineer

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. Attributes We Value 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. About The Team This team is building production AI that eliminates financial busywork for startups globally. We're delivering intelligent automation across payments, payroll, bookkeeping, and tax—freeing founders to focus on building their companies instead of managing finances. About The Role You’ll be a core builder in our AI 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. What You’ll Do 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 — prompting, RAG, fine-tuning, or training from scratch. 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. 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, TensorFlow). Track record of building and deploying AI agents, orchestration frameworks, or multi-step reasoning systems. Understanding of monitoring, evaluation, and iteration in production AI systems. Ability to balance innovation with reliability, scalability, and compliance. 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.

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