1 week ago

Senior AI Engineer (Risk & Payments)

Airwallex

Sydney

1 week ago

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Airwallex is seeking a Senior AI Engineer to join its Risk & Payments team in Sydney, Australia. The role involves designing and deploying intelligent AI agent systems to automate complex workflows in risk management and payment processing. Candidates need 2+ years of applied AI/ML engineering experience with production deployments and strong Python skills.

Core AIHybridFull-timeSeniorPythonPyTorch

Senior AI Engineer (Risk & Payments)

Apply

Core AIHybridFull-timeSeniorPython

Salary

Not specified

Work Location

Sydney, New South Wales, Australia, AU

Work Model

Hybrid

Experience Required

2 years

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)

PythonPyTorchJAXLangChainLlamaIndexAutoGenCrewAISemantic KernelMachine LearningAI agentsRAGFine-tuningOrchestrationMonitoringEvaluation

Soft Skills

CollaborationCuriosityOwnershipProblem-solvingCommunication

Key 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.

AI EngineerRisk & PaymentsFinancial ServicesEngineeringInformation TechnologyHybridFull-timePythonAI agentsSydney

Key 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.