Overview
Airwallex is the unified payments and financial platform for global businesses. We empower over 200,000 businesses worldwide with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.
The Opportunity
The Global Treasury and Payment Network (GTPN) team sits at the core of Airwallex's payment infrastructure. As Airwallex's very first product and still the largest revenue driver across the company, GTPN underpins many of our most critical customer experiences. We operate at the intersection of traditional and modern finance, expanding the reach of our global treasury and payment network, strengthening its capabilities and reliability, and delivering innovative payment products built on a robust financial foundation.
GTPN is a truly global, cross-site engineering organization, with engineers in the US, Singapore, Hong Kong, and Shanghai. As we continue to scale worldwide, we're looking for passionate Senior Software Engineers to join us. You'll collaborate closely with product managers, designers, and engineers across regions to build and enhance products that meet and exceed our customers' expectations.
The Role
As the senior engineer in our new Generative AI team, you will own the end-to-end development of AI-driven solutions that redefine how we provide support and automation for both internal teams and external customers. You will shape the underlying architecture and APIs for advanced systems building cutting-edge AI solutions that enable Airwallex to scale. Your contributions will directly influence innovation, set best practices, and establish the foundation for our expanding AI portfolio.
If you are passionate about building AI solutions that directly impact customers, thrive on solving tough technical challenges, and embrace a product-focused mindset, we invite you to shape the future of Finance and AI with us.
Responsibilities
* Build AI solutions to enable growth and drive internal efficiency across the business.
* Design and implement robust API and system architecture for new AI applications.
* Collaborate closely with a cross-functional team to bring these AI solutions to life.
* Embrace the challenges of a fast-paced, high-growth environment with a focus on innovation.
Minimum Qualifications
* 5+ years in backend software development, with a focus on AI.
* Experience building internal or customer-facing products with LLMs.
* Expertise in building efficient, large-scale software systems.
* Skill in writing high-quality, maintainable code.
* Experience in design and development of large-scale distributed, high concurrency, high load, high availability systems.
* Excellent communication and mentoring abilities.
* A relevant degree in Computer Science, Mathematics or related fields.
Preferred Qualifications
* Familiarity with MLOps practices and deployment pipelines for AI-driven products.
* Past experience in payments or FinTech.
Applicant Safety Policy: Fraud and Third-Party Recruiters
To protect you from recruitment scams, Airwallex will not ask for bank details, sensitive ID numbers (e.g., passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. 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 unless an agreement has been made for specific open positions. Submissions from search firms/recruiters without an agreement shall be deemed unsolicited.
Equal Opportunity
Airwallex is proud to be an equal opportunity employer. We value diversity and consider all qualified applicants based on merit, qualifications, competence, and talent. We do not discriminate based on color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status. If you have a disability or need accommodation, please let us know.
Compensation Range: $200K - $250K
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