Senior AI Engineer - Risk & Payments AI Agents

Airwallex-; Sydney; On-site; AUD 120,000 - 180,000; Full time

Job summary

Airwallex in Sydney is seeking an AI/ML engineer to design and deploy intelligent AI agents within risk and payment platforms. You will translate business problems into end-to-end agent solutions and collaborate with backend and frontend teams to ship production-ready systems.

You will work with PyTorch, JAX and LangChain-like frameworks, balance innovation with reliability, and focus on governance, monitoring, and continuous improvement.

Qualifications

• 2+ years in applied AI/ML engineering with production deployments.
• Strong Python skills and experience with ML frameworks (PyTorch, JAX…).
• 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 in production AI systems.
• Ability to balance innovation with reliability, scalability, and compliance.

Responsibilities

• Translate business problems into AI agent solutions end to end.
• 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 including prompting, RAG, fine-tuning.
• 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.
• Develop advanced evaluation framework and monitoring systems for AI agents to ensure good governance of AI

Skills

Python

ML engineering

Production deployments

AI agents

Monitoring and evaluation

Tools

PyTorch

JAX

Job description

Airwallex in Sydney is seeking an AI/ML engineer to design and deploy intelligent AI agents within risk and payment platforms. You will translate business problems into end-to-end agent solutions and collaborate with backend and frontend teams to ship production-ready systems.

You will work with PyTorch, JAX and LangChain-like frameworks, balance innovation with reliability, and focus on governance, monitoring, and continuous improvement.