Staff Engineer, Agentic AI

The role

You will design and deploy intelligent systems that automate complex, multi-step financial workflows. You will turn agentic frameworks, orchestration layers, and pragmatic model selection into reliable production systems at scale.

What you will do

• Architect intelligent systems that automate complex, multi-step financial workflows
• Apply prompting, retrieval-augmented generation, fine-tuning, or training models from scratch as appropriate to the problem
• Design and optimize agent architectures for reasoning, tool use, and workflow automation
• Build systems that improve with usage and create compounding AI flywheels
• Partner with backend and frontend engineers to integrate AI reasoning into secure, production systems

Required qualifications

• 5+ years of experience in applied AI/ML engineering, including production deployments
• Strong Python skills and 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
• Experience designing monitoring, evaluation, and iteration practices for production AI systems
• Ability to balance innovation with reliability, scalability, and compliance

Nice to have

• Experience architecting and deploying intelligent systems that automate complex, multi-step financial workflows
• Experience using agentic frameworks, orchestration layers, and pragmatic model selection to build production systems
• Experience designing AI systems for reasoning, tool use, and workflow automation
• Experience building systems that improve with usage and create compounding AI flywheels
• Experience partnering with backend and frontend engineers to integrate AI reasoning into secure, production systems

About the company

Airwallex is the AI-native financial operating system for a real-time, intelligent economy. It provides financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific.