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.

How you'll make impact

You’ll design and deploy intelligent systems that automate complex, multi-step financial workflows. You’ll turn agentic frameworks, orchestration layers, and pragmatic model selection into reliable production systems at scale.

• Architect intelligent systems that automate complex, multi-step financial workflows

• Apply prompting, retrieval-augmented generation, fine-tuning, or training models from scratch as appropriate to the problem

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

• Build systems that improve with usage and create compounding AI flywheels

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

You’ll work from our San Francisco office three days a week.

What we're looking for

Essentials

• 5+ years of experience in applied AI/ML engineering, including production deployments

• Strong Python skills and experience with ML frameworks such as PyTorch, JAX, or TensorFlow

• A track record of building and deploying AI agents, orchestration frameworks, or multi-step reasoning systems

• Experience designing monitoring, evaluation, and iteration practices for production AI systems

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

Preferred

• Experience architecting and deploying intelligent systems that automate complex, multi-step financial workflows

• Experience using agentic frameworks, orchestration layers, and pragmatic model selection to build production systems

• Experience designing AI systems for reasoning, tool use, and workflow automation

• Experience building systems that improve with usage and create compounding AI flywheels

• Experience partnering with backend and frontend engineers to integrate AI reasoning into secure, production systems

You'll thrive here if

• You're comfortable owning the roadmap yourself.

• You're comfortable making decisions with incomplete information and moving quickly anyway.

• You hold yourself to a high standard even when no one is watching. Quality and accountability aren't external expectations, they're internal ones.

• You're comfortable with ambiguity. Give you a problem, not a prescription, and you'll run with it.

• You simplify complexity rather than hiding behind it.