Staff Engineer, Agentic AI

About the role

Airwallex, the AI-native financial operating system used by more than 675,000 businesses, is hiring a Staff Engineer, Agentic AI. You will design and deploy intelligent systems that automate complex, multi-step financial workflows, turning agentic frameworks, orchestration layers and pragmatic model selection into reliable production systems at scale. You will work from the San Francisco office three days a week.

Key responsibilities

• Architect intelligent systems that automate complex, multi-step financial workflows.
• Apply prompting, retrieval-augmented generation, fine-tuning or training models from scratch, depending on 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 profile

• 5+ years of experience in applied AI/ML engineering, including production deployments.
• 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.
• Comfortable owning the roadmap, making decisions with incomplete information and working with ambiguity.

Required skills

• Strong Python skills.
• Experience with ML frameworks such as PyTorch, JAX or TensorFlow.
• Preferred: experience architecting and deploying intelligent systems for financial workflows, using agentic frameworks and orchestration layers, and integrating AI reasoning with backend and frontend engineers.