Software Engineer, Agentic AI
Airwallex, US - San Francisco
- Pay
- $120K–$200K / year
- Work type
- Hybrid
- Level
- Not stated
- Area
- Software engineering, Inference & ML systems, ML / AI engineering
- Posted
- Mar 7, 2026
About the 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.
- Experience building intelligent automation for payments, payroll, bookkeeping, tax, or other financial workflows.
YOU'LL THRIVE HERE IF
- You're comfortable owning the roadmap yourself.
- You're comfortable with ambiguity. Give you a problem, not a prescription, and you'll run with it.
- You default to action. You'd rather course-correct in motion than wait for perfect clarity.
- You hold yourself to a high standard even when no one is watching. Quality and accountability aren't external expectations, they're internal ones.
LEARN MORE ABOUT YOUR TEAM
T:0's mission is to make finance run itself. We're building an AI-native accounting platform that closes the books, reconciles, and reports continuously, so founders can stop managing their finances and start using them to run the business. The hard part isn't adding AI to accounting. It's making AI you can trust with the books. We use AI to understand how a business works, then run the actual accounting on strict, checkable rules, and no black box deciding the numbers. That's why customers pick us over both the legacy tools they've outgrown and the AI wrappers they don't trust. And bookkeeping is just the start: we're building toward a full financial operating system for how companies account, plan, and operate. The team is small, elite, and builder-focused, led by operators with a track record of shipping AI products at scale. We sit inside Airwallex, which means startup speed with a scaled company's infrastructure, distribution, and capital behind us. You'll work directly from real customer pain, own outcomes end to end, and ship fast.
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Listed on Airwallex's Ashby job board; checked 25 h ago. First seen by us 27 h ago. Being listed doesn't mean the team is actively interviewing. We found this board in a public directory and haven't yet confirmed it against the company's own careers page.