Airwallex
Staff Backend Engineer, Agentic AI
- Jenis pekerjaan
- Penuh waktu
- Cara kerja
- Hibrida
- Lokasi
- US - San Francisco
- Dipublikasikan
- 19 Feb 2026
- Terakhir diperiksa
- 26 Okt 2026
Tentang posisi ini
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.
HOW YOU'LL MAKE IMPACT
T:0 is building an AI-native accounting platform that helps businesses close the books, reconcile, and report continuously. As a Staff Backend Engineer, you'll design the systems that make intelligent financial workflows reliable, auditable, and ready to scale.
- Design and operate distributed, event-driven systems that process high-volume, high-sensitivity financial data with strict correctness and latency guarantees.
- Build typed, production-grade APIs and services in Python using FastAPI and Pydantic to power agentic workflows, AI copilots, and real-time financial infrastructure.
- Own data architecture end to end, including schema design, event models, ledger primitives, and storage layers optimized for auditability, traceability, and scale.
- Develop resilient infrastructure primitives—including queues, retries, idempotency, observability, and backpressure handling—that let teams ship quickly without sacrificing reliability.