Senior Software Engineer, AI - Global Treasury Payment Network, San Francisco

Airwallex2 months ago

Location

US - San Francisco

Type

Full Time

Salary

USD 200,000 – 250,000

Level

Senior

Role

Backend Engineer

Posted

Jan 12, 2026

Full TimeSenior

The role

Summary

Senior Software Engineer position at Airwallex focused on building AI-driven solutions for the Global Treasury Payment Network team. The role involves end-to-end development of generative AI applications, designing robust APIs and system architecture, while working in a fast-paced fintech environment with global cross-functional teams.

What you'll do

AI Solution Development: Build end-to-end AI-driven solutions that enable business growth and drive internal efficiency across Airwallex's global operations

System Architecture Design: Design and implement robust API and system architecture for new AI applications, ensuring scalability and maintainability

Cross-Functional Collaboration: Work closely with product managers, designers, and engineers across multiple regions to deliver AI solutions that exceed customer expectations

LLM Integration: Develop and integrate Large Language Model applications for both internal teams and external customer-facing products

Technical Leadership: Set best practices and establish technical foundations for Airwallex's expanding AI portfolio while mentoring junior engineers

Performance Optimization: Build and optimize large-scale distributed systems with high concurrency, load, and availability requirements for payment processing

Innovation Driver: Shape the future of Finance and AI by identifying opportunities for AI automation and implementing cutting-edge solutions

What we look for

Technical

Backend Development Expertise5+ years of backend software development experience with specific focus on AI and machine learning systems

LLM ExperienceProven experience building internal or customer-facing products with Large Language Models (LLMs)

Distributed SystemsExpert-level skills in designing and developing large-scale distributed, high concurrency, high load, high availability systems

Code QualityDemonstrated ability to write high-quality, maintainable, and scalable code following industry best practices

System ArchitectureStrong experience in building efficient, large-scale software systems with robust API design

Education

Bachelor's DegreeRelevant degree in Computer Science, Mathematics, or related technical fields

Advanced Degree (Preferred)Master's or PhD in AI/ML, Computer Science, or related field with focus on artificial intelligence

Experience

Senior-Level ExperienceMinimum 5+ years of professional software development experience with backend systems

AI/ML Production ExperienceHands-on experience deploying and maintaining AI/ML models in production environments

Leadership ExperienceExcellent communication and mentoring abilities with experience guiding technical decisions

FinTech Experience (Preferred)Previous experience in payments, financial technology, or related regulated industries

Skills

Required skills

Python ProgrammingAdvanced proficiency in Python for AI/ML development, API creation, and backend services

Machine Learning FrameworksHands-on experience with TensorFlow, PyTorch, or similar frameworks for building AI solutions

LLM DevelopmentPractical experience building applications with Large Language Models including GPT, Claude, or similar

Distributed SystemsExpert knowledge of microservices architecture, API design, and distributed system patterns

Database ManagementProficiency with both SQL and NoSQL databases, particularly PostgreSQL and Redis for high-performance applications

Cloud PlatformsExperience with AWS, GCP, or Azure for deploying scalable AI applications

System ArchitectureStrong ability to design robust, scalable system architectures for enterprise-level applications

Nice to have

MLOps PracticesFamiliarity with MLOps practices and deployment pipelines for AI-driven products including model versioning and monitoring

FinTech ExperiencePrevious experience in payments, financial services, or regulatory compliance environments

Container OrchestrationExperience with Docker, Kubernetes for deploying and managing AI applications at scale

Vector DatabasesKnowledge of vector databases like Pinecone, Weaviate for embedding storage and retrieval

API DevelopmentAdvanced experience with RESTful APIs, GraphQL, and gRPC for building robust integrations

Monitoring & ObservabilityExperience with Prometheus, Grafana, or similar tools for system monitoring and performance optimization

Compensation & benefits

Salary

USD 200,000 – 250,000 (annual)

Stock options

Available

Benefits

Equity Participation

Stock options in a $8 billion valued company backed by world-leading investors including Visa, Mastercard, and Sequoia

Global Impact

Work on products that serve over 200,000 businesses worldwide including major companies like Brex, Rippling, and Qantas

Professional Development

Accelerated learning opportunities and true ownership in building the global payments platform of the future

International Exposure

Collaborate with talented engineers across 26 global offices and work in a truly international environment

Cutting-Edge Technology

Access to latest AI/ML technologies and tools to build innovative financial solutions

Health Benefits

Comprehensive health insurance coverage

Flexible Work

Hybrid work arrangement balancing office collaboration and remote flexibility

Interview process

1
Initial Screening — 30-minute phone/video call with recruiting team to discuss background, motivation, and basic technical experience
2
Technical Assessment — Take-home coding challenge focusing on AI/ML problem solving, system design, and code quality (2-3 hours)
3
Technical Deep Dive — 90-minute technical interview covering distributed systems, AI/ML concepts, and discussion of take-home solution
4
System Design Round — 60-minute system design interview focusing on large-scale AI application architecture and payment system integration
5
Cross-Functional Interview — 45-minute behavioral interview with product and engineering leaders covering collaboration, leadership, and cultural fit
6
Final Leadership Round — 30-minute conversation with senior leadership about vision, impact, and long-term career goals at Airwallex