2 months ago
Singapore, SingaporeSenior
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 builds a global payments and financial operations platform for businesses, offering payment acceptance, multi-currency accounts, FX and transfers, card issuing, treasury and spend management via APIs and web apps. It monetizes through transaction and foreign-exchange fees and related account services. Founded in Melbourne in 2015 and privately held, the company serves customers worldwide, with notable users including Brex, Canva and Qantas.