Airwallex

Staff AI Engineer

San Francisco, California, United States · Hybrid · FullTime

USD 182,000–310,000/year

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About the role

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  • EmployerAirwallex
  • LocationSan Francisco, California, United States
  • Work styleHybrid
  • Employment typeFullTime
  • Employer posted
  • Salary (as stated by the employer)USD 182,000 – 310,000 per year

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 ouroperating principles to see it in full.

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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.

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.

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Machine learning engineer jobs in San Francisco

ROLIVA currently lists 28 open roles like this in San Francisco.

Employers hiring for this

  • Capital One Financial11 open roles
  • Airwallex2 open roles
  • Handshake2 open roles
  • Hinge Health2 open roles
  • 6sense1 open role

Top skills asked for

Listings whose description mentions each term. A mention is not a requirement.

Advertised salary for this role here

These are advertised ranges, not what people are paid.

  • USD a year, after annualising120,000–400,000 (11 listings, 8 employers)

At a glance

  • Work styleHybrid
  • Employment typeFullTime
  • SeniorityLead / Principal
  • Salary (as stated by the employer)USD 182,000–310,000 per year
  • Employer posted
  • Added to ROLIVA
  • Last checked

Skills in this posting

Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.

Python PyTorch TensorFlow

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