Airwallex
Senior AI Engineer (Risk & Payments)
SG - Singapore. Posted 2 months ago
The role
You will translate complex risk and payment problems into production-ready AI agent solutions. You will design, build, and deploy intelligent systems using agentic frameworks and advanced orchestration.
What you will do
- Design, build, and deploy intelligent systems using agentic frameworks, advanced orchestration, prompting, retrieval-augmented generation, and fine-tuning.
- Architect AI systems for reasoning, tool use, and multi-step workflow execution.
- Build evaluation, monitoring, and governance capabilities for AI systems.
- Partner with backend and frontend engineers to integrate AI reasoning into secure, production systems.
Required qualifications
- 2+ years of experience in applied AI or machine learning engineering, including production deployments.
- Strong Python skills.
- Experience with machine learning frameworks such as PyTorch or JAX.
- Track record of building and deploying AI agents, orchestration frameworks, or multi-step reasoning systems.
- Experience with agentic frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, or comparable open-source stacks.
- Experience applying techniques including prompting, retrieval-augmented generation, and fine-tuning.
- Strong understanding of monitoring, evaluation, and iteration in production AI systems.
- Ability to balance innovation with reliability, scalability, security, and compliance.
Nice to have
- Experience building AI systems for risk management, payments, fraud prevention, or another highly regulated domain.
- Experience designing AI systems that use tools and operate across multi-step workflows.
- Experience building AI evaluation frameworks, monitoring systems, or governance controls.
- Experience working closely with backend and frontend engineers to integrate AI capabilities into production products.
About the company
Airwallex is an AI-native financial operating system. It provides financial infrastructure for global commerce and is co-headquartered in San Francisco and Singapore.