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Airwallex is a unified payments and financial platform serving over 250,000 global businesses including Brex, Navan, Qantas, and SHEIN. The company provides integrated solutions for business accounts, payments, spend management, treasury, and embedded finance at scale. Valued at $11 billion and backed by leading investors including Sequoia, Visa, and Mastercard, Airwallex operates across 27 offices globally with over 2,300 employees.
You will be a core builder in the Risk and Payments team, designing and deploying intelligent AI systems that automate complex, multi-step workflows. This role focuses on translating business problems into production AI agent solutions that improve risk management and payment processing.
Key responsibilities include:
- Translating business problems into end-to-end AI agent solutions
- Architecting and deploying AI agents using frameworks like LangChain, LlamaIndex, AutoGen, CrewAI, and Semantic Kernel
- Applying techniques across the AI spectrum including prompting, RAG, and fine-tuning
- Designing and optimizing agent architectures for reasoning, tool use, and workflow automation
- Building systems that improve with usage, creating compounding AI flywheels
- Collaborating with backend and frontend engineers to integrate AI reasoning into secure, production systems
- Developing advanced evaluation frameworks and monitoring systems for AI agents to ensure governance
Required qualifications:
- 2+ years of applied AI/ML engineering with production deployments
- Strong Python skills and experience with ML frameworks (PyTorch, JAX)
- Track record of building and deploying AI agents, orchestration frameworks, or multi-step reasoning systems for concrete business problems
- Understanding of monitoring, evaluation, and iteration in production AI systems
- Ability to balance innovation with reliability, scalability, and compliance
Airwallex values builders with founder-like energy, strong role expertise, sharp thinking, and motivation aligned with their mission. The company emphasizes moving fast with good judgment, curiosity, first-principles thinking, humility, collaboration, and using AI to work smarter.
