AI Engineer
Job Description
Airwallex is seeking an AI Engineer to join their newly formed team that operates like a startup within their global fintech organization. The role focuses on reimagining business-finance interactions through intelligent systems. As a core builder in the AI team, you'll design and deploy intelligent systems that automate complex workflows using frameworks like LangChain, LlamaIndex, AutoGen, and CrewAI.
The position offers an opportunity to work at the intersection of fintech and artificial intelligence, backed by a company valued at US$6.2 billion with a global presence across 26 offices. You'll be part of a team building systems that improve with usage, creating compounding AI flywheels, while working alongside backend and frontend engineers to integrate AI reasoning into production systems.
Airwallex values builders with founder-like energy who seek real impact and accelerated learning. The ideal candidate brings strong AI/ML engineering expertise, with experience in production deployments and a deep understanding of ML frameworks. The role requires balancing innovation with reliability, scalability, and compliance while working in a fast-paced, collaborative environment.
The company offers competitive compensation including equity and bonus opportunities, comprehensive benefits including medical, dental, vision insurance, 401(k), and generous PTO. This is an excellent opportunity for someone looking to make a significant impact in the future of global banking while working with cutting-edge AI technologies.
Responsibilities For AI Engineer
- Architect and deploy AI agents using frameworks like LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, and emerging OSS stacks
- Apply the right techniques across the AI spectrum — prompting, RAG, fine-tuning, or training from scratch
- Design and optimize agent architectures for reasoning, tool use, and workflow automation
- Build systems that improve with usage, creating compounding AI flywheels
- Work with backend and frontend engineers to integrate AI reasoning into secure, production systems
Requirements For AI Engineer
- 2+ years in applied AI/ML engineering with production deployments
- Strong Python skills and experience with ML frameworks (PyTorch, JAX, TensorFlow)
- Track record of building and deploying AI agents, orchestration frameworks, or multi-step reasoning systems
- Understanding of monitoring, evaluation, and iteration in production AI systems
- Ability to balance innovation with reliability, scalability, and compliance
Benefits For AI Engineer
- Medical Insurance
- Dental Insurance
- Vision Insurance
- 401k
- 20 paid vacation days
- 12 paid holidays
- Equity
- Bonus
- Short-term disability
- Long-term disability
- Basic life insurance
- Well-being benefits
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