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T0 AI Engineer

Airwallex

Company websiteairwallex.com (Airwallex, opens in new tab)

Base salary $120K  to $200K

Employer-published annual base salary, USD. Advertised base range in San Francisco, CA

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  • LocationSan Francisco, CA
  • WorkplaceHybrid
  • Status at last checkSource accepting applications when checked
  • Last checked (22 min ago) · observed since

About this job

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.

About the Team

This team is building production AI that eliminates financial busywork for startups globally. We're delivering intelligent automation across payments, payroll, bookkeeping, and tax—freeing founders to focus on building their companies instead of managing finances.

We leverage cutting-edge AI tooling across the spectrum: from prompt engineering and in-context learning to fine-tuned models and agentic systems, choosing the right approach for each problem. We work backward from real founder pain points, own customer outcomes, and ship fast.

The team is small, elite, and builder-focused, led by operators with a track record of shipping AI products at scale. You'll solve hard technical problems with real autonomy and direct customer impact.

About the Role
You’ll be a core builder in our AI team, designing and deploying intelligent systems that automate complex, multi-step workflows. You’ll leverage agentic frameworks, advanced orchestration, and pragmatic model selection to take ideas from whiteboard to production.

What You’ll Do

  • Architect and deploy AI agents using frameworks like LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, and emerging OSS stacks.

  • Apply the right techniques across the AI spectrum — prompting, RAG, fine-tuning, or training from scratch.

  • Design and optimize agent architectures for reasoning, tool use, and workflow automation.

  • Build systems that improve with usage, creating compounding AI flywheels.

  • Work with backend and frontend engineers to integrate AI reasoning into secure, production systems.

What You Need to Have

  • 2+ years in applied AI/ML engineering with production deployments.

  • Strong Python skills and experience with ML frameworks (PyTorch, JAX, TensorFlow).

  • Track record of building and deploying AI agents, orchestration frameworks, or multi-step reasoning systems.

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

  • Ability to balance innovation with reliability, scalability, and compliance.

Applicant Safety Policy: Fraud and Third-Party Recruiters

To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page.

Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.

Equal opportunity

Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

Source: Airwallex on Ashby · View original posting (opens in new tab)

This range next to 6 other live Airwallex roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Airwallex roles with the nearest advertised base floor
RolePublished base
T0 AI Engineer (this listing)$120K - $200K
Corporate Secretary$120K - $171K
Global AML Manager$120K - $190K
Manager, Regulatory Compliance$120K - $190K
Senior Accountant, Americas$120K - $150K
Product Marketing Manager, AMER$120K - $190K
Manager, Regulatory Operations$119K - $195K

Same $100K to $400K scale as every card. All Airwallex roles · How to read the bar

Observed changes

  1. Began meeting the published-salary criteria
  2. First observed on the employer's board
Observed since
Employer-stated posting date
2026-03-07
Where this pay comes from

Location as the employer wrote it: US - San Francisco

USD 120,000 – 200,000 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.