Software Engineer, Agentic AI

About 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 https://www.airwallex.com/en-us/operating-principles to see it in full.

WHAT WE'RE LOOKING FOR

ESSENTIALS

• 2+ years of experience in applied AI/ML engineering with 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.

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

• The ability to balance innovation with reliability, scalability, and compliance.

PREFERRED

• Experience with agentic frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, or emerging open-source stacks.

• Experience integrating AI reasoning into secure, production systems.