Senior Backend Engineer, AI

T0 is your AI CFO from day zero. We automate the entire financial backend for founders—from bookkeeping and payroll to tax, forecasting, and investor reporting—so they can focus on building instead of managing financial busywork.

We’re not a research lab — we’re a launchpad. Our team is building an AI-powered finance engine and moving fast alongside real companies. Ideas go from whiteboard to production in weeks, not years, and engineers see the immediate impact of their work in the hands of customers.

Our mission is to rewire the broken infrastructure of global finance, and your work directly contributes to that transformation. At T0, you’ll solve real problems with immediate customer impact, operate with autonomy and ownership, and build foundational AI on top of infrastructure already supporting businesses  you want to move fast, tackle challenges that truly matter, and help redefine how financial operations work across the industry, this is where you build.

That's how t0 believes a company's finances should run, and that's what we deliver to our customers.

What we do

t0 is the AI-native platform built to run a company's complete finance function end-to-end. Bookkeeping, rev rec, AP/AR, FP&A: one system where every workflow connects, every entry has an auditable trail, and finance teams get back hours to focus on strategy and growth.

Why it matters

Finance today runs on manual processes, fragmented tools, and a stack stitched together with spreadsheets and email. It's expensive, slow, and no one's happy with it. t0 replaces all of it.

Why we're different

t0 is built on Airwallex's infrastructure: global scale, real revenue, real longevity. No venture funding. No misaligned incentives. Just the right solution, built for the long term.

What it's like here

We build in production, not in theory. Ideas go from whiteboard to customer hands in weeks, and the impact is immediate. You'll tackle real problems with real stakes, operate with autonomy and ownership, and build foundational AI on infrastructure already supporting businesses at scale.

About the Team

The T0 AI team designs intelligent, autonomous systems that eliminate financial operations for companies globally. We automate everything from bookkeeping and reconciliation to tax, payroll, forecasting, and document understanding—turning hours of work into seconds. The team blends deep research pedigree with proven industry experience. We operate with high standards, are tool-agnostic, and expect engineers to own problems end-to-end. We collaborate closely, push boundaries responsibly, and ship exceptional work quickly.

You’ll solve unprecedented technical challenges using unique, end-to-end financial datasets no one else in the industry has.

About the Role

As a Senior Backend Engineeer, you’ll design the backbone of our intelligent finance systems — scalable services, resilient APIs, and thoughtful data models. Our backend is primarily Python on GCP, and your work will ensure we can move quickly while maintaining enterprise-grade reliability and security.

Responsibilities

• Architect distributed systems on GCP for high-volume, high-sensitivity data.
• Build well-structured APIs and services in Python to power AI applications and frontends.
• Own schema and data modeling for long-term growth and flexibility.
• Create infrastructure that enables rapid iteration while ensuring reliability.
• Collaborate with AI engineers to build systems where data improves models and models improve products.

Qualifications

• 5+ years backend experience with Python at scale.
• Deep knowledge of SQL/No
  
  SQL database design.
• Experience with distributed systems, event-driven architectures, or microservices.
• Familiarity with GCP services (Pub/Sub, Cloud Run, Cloud SQL, Big Query, KMS, etc.).
• Strong grasp of security and compliance best practices.
• Passion for building the backend that powers intelligent products.

Pay range and compensation package

T0 promotes fair compensation practices in accordance with applicable federal, state, and local law. The actual compensation offered will depend on a variety of factors including experience, skills, qualifications, location, internal equity, and market conditions.…