
Job Overview
Location
US - San Francisco
Job Type
Full-time
Category
Engineering
Date Posted
April 17, 2026
Full Job Description
đź“‹ Description
- • As a Staff AI Engineer on the Agentic AI team, you will design and deploy intelligent systems that automate complex, multi-step financial workflows for global businesses, directly contributing to Airwallex’s mission of building the future of global payments and financial infrastructure.
- • Day to day, you will architect and deploy AI agents using frameworks like LangChain, LlamaIndex, AutoGen, CrewAI, and Semantic Kernel; apply techniques across the AI spectrum including prompting, RAG, fine-tuning, and training from scratch; design and optimize agent architectures for reasoning, tool use, and workflow automation; build systems that improve with usage to create compounding AI flywheels; and collaborate with backend and frontend engineers to integrate AI reasoning into secure, production systems.
- • You will join a team of over 2,000 innovators across 26 global offices, working within the Agentic AI team that blends deep research pedigree with industry experience to eliminate financial operations through autonomous systems, leveraging unique, end-to-end financial datasets unavailable elsewhere in the industry.
- • In this role, you will tackle unprecedented technical challenges, own problems end-to-end, ship exceptional work quickly, and grow your career by solving high-visibility problems with a collaborative, high-impact team that values founder-like energy, first-principles thinking, and real-world impact.
Skills & Technologies
About Airwallex (UK) Limited
Airwallex is a global financial technology company providing cross-border payment and banking infrastructure for businesses. It offers multi-currency accounts, foreign exchange, card issuing, expense management, and embedded finance APIs. Founded in Melbourne in 2015, the company serves enterprises and SMEs across Asia-Pacific, Europe, and the Americas, operating under licenses in multiple jurisdictions and processing billions in annualized transaction volume.
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