Software Engineer, Agentic AI

The role

This person will build an AI-native accounting platform that automates closing books, reconciliation, and reporting. You will work on making AI that can be trusted with financial books using strict, checkable rules.

What you will do

• Build and deploy AI agents, orchestration frameworks, or multi-step reasoning systems
• Balance innovation with reliability, scalability, and compliance
• Monitor, evaluate, and iterate in production AI systems
• Own outcomes end to end and ship fast

Required qualifications

• 2+ years of experience in applied AI/ML engineering with production deployments
• Strong Python skills
• Experience with ML frameworks such as PyTorch, JAX, or TensorFlow
• A track record of building and deploying AI agents, orchestration frameworks, or multi-step reasoning systems
• An understanding of monitoring, evaluation, and iteration in production AI systems
• The ability to balance innovation with reliability, scalability, and compliance

Nice to have

• Experience with agentic frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, or emerging open-source stacks
• Experience integrating AI reasoning into secure, production systems
• Experience building intelligent automation for payments, payroll, bookkeeping, tax, or other financial workflows

About the company

Airwallex is an AI-native financial operating system used by over 675,000 businesses. It provides financial infrastructure across North America, Europe, the Middle East, and Asia-Pacific.