Airwallex
AI Engineer
About this role
Join Airwallex's elite AI team to build production AI systems that automate financial workflows for startups globally. You'll design and deploy intelligent agents across payments, payroll, and tax automation, working with cutting-edge tools and shipping products that directly impact founders worldwide.
What you'll do
- Architect and deploy AI agents using frameworks like LangChain, LlamaIndex, AutoGen, and CrewAI
- Select and apply appropriate AI techniques across prompting, RAG, fine-tuning, and model training
- Design agent architectures optimized for reasoning, tool use, and multi-step workflow automation
- Build systems that improve over time through feedback loops and continuous learning
- Integrate AI reasoning into secure, production systems alongside backend and frontend teams
- Monitor, evaluate, and iterate on deployed AI systems for reliability and performance
What they're looking for
- Applied AI/ML engineering with 2+ years production deployment experience
- Python programming and ML frameworks (PyTorch, JAX, TensorFlow)
- AI agent design and orchestration frameworks
- Multi-step reasoning and workflow automation systems
- Production AI monitoring and evaluation
- System design balancing innovation with reliability and compliance
- Problem-solving with first-principles thinking
- Collaboration and end-to-end ownership
Benefits
- Work on high-impact AI products solving real founder pain points
- Autonomous role with direct customer impact on global financial platform
- Opportunity to work with elite, builder-focused team of AI operators
- Career growth while building the future of global banking
- Access to cutting-edge AI tooling and emerging frameworks
Opens the application — the Jobs AI extension fills it for you. Set up autofill
Opens the official application on the employer’s site. No login required.
Airwallex
Airwallex builds AI-powered systems that automate financial workflows including payments, payroll, and tax processing for startups globally. The company is hiring for AI engineering roles focused on designing and deploying intelligent agents that ship production systems impacting founders worldwide.
- Website
- airwallex.com
Likely interview questions
- Walk us through a production AI agent or multi-step reasoning system you've built. What framework did you use, and how did you handle reliability and evaluation in production?
- How do you decide between prompt engineering, RAG, fine-tuning, and training from scratch for a given problem? Give us an example.