Airwallex
Verified live 13h ago
AI Engineer
Brief overview
San Francisco, CAIn-person
$120k–$200k/yrStated range
2+ yrsMinimum
18 H-1B approvalsDept. of Labor
1 green cardsCertified filings
AI/ML engineeringPythonPyTorchJAXTensorFlowLangChainLlamaIndexAutoGenCrewAISemantic KernelAI agent developmentRAGFine-tuningModel trainingAgent orchestrationProduction deploymentMonitoring AI systems
About the company
Airwallexairwallex.com
Provides a unified payments and financial platform for global businesses.
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.18H-1B approved
100%approval rate
6new H-1B hires
1PERM certified
$210,000median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20231
20247
20259
20261
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20233
20245
20252
20265
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20251
Top sponsored roles
Staff Product DesignerSTAFF PRODUCT MANAGERSoftware Engineer II, ExpensesSenior Licensing ManagerProduct Lead, T0 Finance
Job description
Summary
Airwallex is a unified payments and financial platform for global businesses, empowering over 200,000 businesses worldwide. The AI Engineer will be responsible for designing and deploying intelligent systems that automate complex workflows, leveraging various AI techniques and collaborating with engineers to integrate AI capabilities into production systems.
Responsibilities
- 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 — prompting, RAG, fine-tuning, or training from scratch
- 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
Skills
- 2+ years in applied AI/ML engineering with production deployments
- Strong Python skills and experience with ML frameworks (PyTorch, JAX, TensorFlow)
- Track record of building and deploying AI agents, orchestration frameworks, or multi-step reasoning systems
- Understanding of monitoring, evaluation, and iteration in production AI systems
- Ability to balance innovation with reliability, scalability, and compliance
Qualifications
Must Haves
- 2+ years in applied AI/ML engineering with production deployments
- Strong Python skills and experience with ML frameworks (PyTorch, JAX, TensorFlow)
- Track record of building and deploying AI agents, orchestration frameworks, or multi-step reasoning systems
- Understanding of monitoring, evaluation, and iteration in production AI systems
- Ability to balance innovation with reliability, scalability, and compliance