Airwallex
T0 AI Engineer
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · US - San Francisco
Employer listed it 7 months ago · Found 5h ago
Been open since 7 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
$120,000 to $200,000
Location
Hybrid · US - San Francisco
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Software
Published by the employer
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around US - San Francisco, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "US - San Francisco, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
About Airwallex
Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 250,000 businesses worldwide – including Brex, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.
Proudly founded in Melbourne, we have a team of over 2,300 of the brightest and most innovative people in tech across 27 offices around the globe. Valued at US$11 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us.
Attributes We Value
We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles . You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.
You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next.
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
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Airwallex, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 6h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open software roles with comparable remote rules.
Free to apply, no account needed.
$120,000 to $200,000 · You'll be taken to the employer's careers page.