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Jobs(26,993)/AI Engineer Role(615)/Airwallex (216) - Senior AI Engineer (Risk & Payments)
Airwallex

Airwallex - Senior AI Engineer (Risk & Payments)

Singapore4w ago
In OfficeSeniorAPACBankingPaymentsAI EngineerRecruiterPythonJAXGovernance

Requirements

• 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. • Applicant Safety Policy: Fraud and Third-Party Recruiters • To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. • Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. • Equal opportunity • Equal opportunity

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. • 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

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