Senior AI Engineer (Risk & Payments)

Airwallex; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Airwallex is seeking an AI/ML engineer to join our Risk and Payment team, building AI-powered agents that automate multi-step workflows and improve risk management and payment processing. You will design, deploy, and monitor actor-based solutions, collaborating closely with back-end and front-end engineers to embed AI reasoning into secure, scalable systems.

You will work with leading AI frameworks and orchestration tools, contribute to governance and evaluation, and balance innovation with

Qualifications

• 2+ years in applied AI/ML engineering with production deployments.
• Strong Python skills and experience with ML frameworks (PyTorch, JAX).
• Proven track record building and deploying AI agents, orchestration frameworks, or multi-step reasoning systems.

Responsibilities

• Translate business problems into AI agent solutions end to end.
• Architect and deploy AI agents using LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel.
• Apply prompting, RAG, fine-tuning techniques.
• 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.
• Develop advanced evaluation framework and monitoring systems for AI agents governance.

Skills

Python

PyTorch

JAX

AI agents

Orchestration

Production deployments

Monitoring

Evaluation

Tools

LangChain

LlamaIndex

AutoGen

CrewAI

Semantic Kernel

Job 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 250,000 businesses worldwide – including Brex, 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 2,300 of the brightest and most innovative people in tech across 27 offices around the globe. Valued at US$11 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 Role

You’ll be a core builder in our Risk and Payment 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. This position will be embedded in the payment and risk team to build AI solutions improving risk management and payment processing.

What You’ll Do

• Translate business problems into AI agent solutions end to end.
• 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 including prompting, RAG, fine-tuning.
• 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.
• Develop advanced evaluation framework and monitoring systems for AI agents to ensure good governance of AI.

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…).
• 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.

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.