AI Engineer at Airwallex

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

05 Jun, 26

Salary

200000.0

Posted On

07 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Applied AI/ML Engineering, Production Deployments, Python, PyTorch, JAX, TensorFlow, AI Agents, Orchestration Frameworks, Multi-Step Reasoning Systems, Monitoring, Evaluation, Iteration, LangChain, LlamaIndex, AutoGen, CrewAI

Industry

Financial Services

Description

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 200,000 businesses worldwide – including Brex, Rippling, 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 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 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 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.

Responsibilities

The role involves architecting and deploying AI agents using various frameworks to automate complex, multi-step workflows, leveraging techniques like prompting, RAG, and fine-tuning. Responsibilities include designing agent architectures for reasoning and tool use, building systems that improve with usage, and integrating AI reasoning into secure production systems alongside other engineering teams.