Airwallex
Staff AI Engineer
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · US - San Francisco
Employer listed it 3 months ago · Found 3h ago
Been open since 3 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
$182,000 to $310,000
Location
Hybrid · US - San Francisco
Timezone
Not stated
Contract
Full-time
Experience
Lead
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
The Agentic AI team designs intelligent, autonomous systems that eliminate financial operations for companies globally. We automate the core financial workflows that businesses rely on—turning slow, manual processes into something real-time, intelligent, and seamless, compressing 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 Staff AI Engineer, you will design and deploy intelligent systems that automate complex, multi-step financial workflows. You’ll leverage agentic frameworks, orchestration layers, and pragmatic model selection to turn ideas into reliable production systems at scale.
Responsibilities
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.
Qualifications
5+ 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.
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Requirements
- ·5+ 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.
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 3h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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$182,000 to $310,000 · You'll be taken to the employer's careers page.