Senior AI Engineer

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

Kai is Airwallex’s AI assistant, helping customers complete complex financial work with greater speed and control. As a senior engineer on the AI team, you'll build AI-driven products and systems that support internal teams, serve external customers and help Airwallex scale its expanding AI portfolio.

• Build AI solutions that enable growth and improve internal efficiency across Airwallex.

• Design robust APIs and system architecture for new AI applications.

• Own the end-to-end development of AI-driven solutions for internal teams and external customers.

• Shape the architecture and APIs that underpin advanced AI systems.

• Partner with cross-functional teams to bring customer-focused AI solutions to life.

• Raise engineering standards through high-quality, maintainable code, strong system design and effective mentoring.

You'll work from our Singapore office five days a week.

What we're looking for

Essentials

• 3+ years of backend software development experience, with a focus on AI.

• Experience building internal or customer-facing products with LLMs.

• Proficiency in Python.

• Expertise in building efficient, large-scale software systems.

• Experience designing and developing large-scale, distributed, high-concurrency, high-load and highly available systems.

• A track record of writing high-quality, maintainable code.

• Excellent communication and mentoring abilities.

• A relevant degree in Computer Science, Mathematics or a related field.

Preferred

• Familiarity with MLOps practices and deployment pipelines for AI-driven products.

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 simplify complexity rather than hiding behind it.

• You say what you mean. You're direct, but you lead with respect.

• You value in-person collaboration and are happy being in the office five days a week.

Learn more about your team

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