2 hours ago
Responsibilities
- Translate business problems into end-to-end AI-agent solutions.
- Architect and deploy AI agents using frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, and Semantic Kernel.
- Apply prompting, retrieval-augmented generation, and fine-tuning techniques.
- Design and optimize agent architectures for reasoning, tool use, and workflow automation.
- Build systems that improve with usage and create compounding AI flywheels.
- Collaborate with backend and frontend engineers to integrate AI reasoning into secure production systems.
- Develop evaluation and monitoring systems for AI agents to support AI governance.
Requirements
- At least 2 years of applied AI/ML engineering experience with production deployments.
- Strong Python skills and experience with ML frameworks such as PyTorch and JAX.
- A track record of building and deploying AI agents, orchestration frameworks, or multi-step reasoning systems for concrete business problems.
- Understanding of monitoring, evaluation, and iteration for production AI systems.
- Ability to balance innovation with reliability, scalability, and compliance.
Categories
About Airwallex
Airwallex is a leading global payments and financial platform for modern businesses, offering trusted solutions to manage everything from business account, payments, treasury, and spend management to embedded finance. With our proprietary infrastructure, Airwallex takes the friction out of global payments and financial operations, empowering businesses of all sizes to unlock new opportunities and grow beyond borders. Proudly founded in Melbourne, Airwallex supports over 150,000 businesses globally and is trusted by brands such as Brex, Canva, Rippling, Navan, Qantas, SHEIN and many more. For more information, visit http://www.airwallex.com