Senior AI Engineer

Senior · Full Time

SG - SingaporeSGD 120k – 180k14mo ago
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Role

What you'll do.

Senior AI Engineer role at Airwallex, a $8B fintech company, leading the development of cutting-edge AI solutions for global payments and financial services. The position involves building end-to-end AI-driven products, designing robust system architectures, and establishing best practices for the expanding AI portfolio in a fast-paced, high-growth environment.

Responsibilities

  • AI Solution Development: Build comprehensive AI solutions to 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: Collaborate closely with product managers, data scientists, and engineering teams to bring AI solutions from concept to production
  • Technical Leadership: Shape underlying architecture and establish best practices for the expanding AI portfolio, setting standards for the team
  • Innovation and Research: Stay current with cutting-edge AI technologies and implement innovative solutions that redefine customer support and automation
  • Code Quality Assurance: Write high-quality, maintainable code and conduct thorough code reviews to ensure robust AI applications
  • Performance Optimization: Optimize AI systems for large-scale distributed, high concurrency, and high availability requirements
  • Mentoring and Knowledge Sharing: Provide technical guidance and mentoring to junior engineers while fostering a culture of continuous learning

Qualifications

What we look for.

Technical

  • Backend Development

    5+ years of backend software development experience with specific focus on AI and machine learning applications

  • LLM Product Development

    Proven experience building internal or customer-facing products using Large Language Models

  • Python Proficiency

    Strong expertise in Python programming language for AI/ML development and backend services

  • Distributed Systems

    Experience in design and development of large-scale distributed, high concurrency, high load, high availability systems

  • Software Architecture

    Expertise in building efficient, large-scale software systems with focus on scalability and performance

Education

  • Computer Science Degree

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

  • Advanced Mathematics

    Strong foundation in mathematics, statistics, and algorithms relevant to AI/ML development

Experience

  • AI/ML Engineering

    Minimum 5 years of hands-on experience in AI/ML engineering with focus on production systems

  • Code Quality

    Demonstrated skill in writing high-quality, maintainable code with strong testing practices

  • Communication Skills

    Excellent communication and mentoring abilities for cross-functional collaboration

  • Fast-paced Environment

    Experience working in high-growth, fast-paced environments with focus on innovation and rapid iteration

Skills

Required

  • Python Programming

    Advanced proficiency in Python for AI/ML development and backend systems

  • Large Language Models

    Hands-on experience building products with LLMs like GPT, Claude, or similar models

  • System Design

    Ability to design and implement large-scale distributed systems with high availability

  • API Development

    Expertise in designing and building robust APIs for AI applications

  • Code Quality

    Strong practices in writing maintainable, testable, and scalable code

  • Communication

    Excellent verbal and written communication skills for cross-functional collaboration

Preferred

  • MLOps

    Nice to have

    Familiarity with MLOps practices including model deployment, monitoring, and CI/CD pipelines

  • Cloud Platforms

    Nice to have

    Experience with AWS, GCP, or Azure for deploying AI solutions at scale

  • Vector Databases

    Nice to have

    Knowledge of vector databases and embedding technologies for AI applications

  • Financial Technology

    Nice to have

    Understanding of fintech domain and regulatory requirements for financial services

  • Container Technologies

    Nice to have

    Experience with Docker, Kubernetes for containerized AI application deployment

  • Data Engineering

    Nice to have

    Skills in data pipeline development and real-time data processing for AI systems

Tech stack

Languages

PythonSQL

Frameworks

TensorFlowPyTorchFastAPILangChain

Databases

PostgreSQLRedisVector Databases

Tools

DockerKubernetesAWSMLflowGit

Other

Large Language ModelsMLOpsAPI DesignMicroservices

Compensation

Pay and benefits.

Base·SGD 120,000 – 180,000

Equity·Stock options

Benefits

  • Equity Participation

    Stock options in a $8B valued company backed by world-leading investors including T. Rowe Price, Visa, and Mastercard

  • Global Impact

    Opportunity to build solutions that impact over 200,000 businesses worldwide including Brex, Rippling, and Qantas

  • Career Growth

    Accelerated learning opportunities in a fast-growing fintech company with global presence across 26 offices

  • Innovation Culture

    Work with cutting-edge AI technologies and shape the future of global payments and financial services

  • Diverse Team

    Collaborate with over 2,000 of the brightest minds in tech from diverse backgrounds and locations

  • Equal Opportunity

    Inclusive workplace that values diversity and provides equal opportunities regardless of background

  • Accommodation Support

    Disability and special needs accommodation provided to ensure inclusive work environment

Process

Interview steps.

  1. 01

    Application Review

    Initial screening of resume and portfolio focusing on AI/ML experience and Python proficiency

  2. 02

    Recruiter Phone Screen

    30-minute call to discuss background, motivation, and basic technical experience with AI systems

  3. 03

    Technical Phone Interview

    60-minute technical discussion covering system design, AI/ML concepts, and Python coding problems

  4. 04

    Take-Home Assignment

    AI-focused coding challenge involving LLM integration or system architecture design (3-4 days to complete)

  5. 05

    Onsite Technical Panel

    4-hour onsite interview including live coding, system design, and AI architecture discussions

  6. 06

    Behavioral Interview

    45-minute discussion with hiring manager about leadership experience, collaboration, and cultural fit

  7. 07

    Final Round

    Meeting with senior leadership to discuss vision, impact, and long-term career goals at Airwallex

Full posting

Original listing.

About Airwallex

Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.

Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us.

Attributes We Value

We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.

You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next.

About the team

As the senior engineer in our new Generative AI team, you will own the end-to-end development of AI-driven solutions that redefine how we provide support and automation for both internal teams and external customers. You will shape the underlying architecture and APIs for advanced systems building cutting-edge AI solutions that enable Airwallex to scale. Your contributions will directly influence innovation, set best practices, and establish the foundation for our expanding AI portfolio.

What you’ll do

If you are passionate about building AI solutions that directly impact customers, thrive on solving tough technical challenges, and embrace a product-focused mindset, we invite you to shape the future of Finance and AI with us.

Responsibilities:

  • Build AI solutions to enable growth and drive internal efficiency across the business.

  • Design and implement robust API and system architecture for new AI applications.

  • Collaborate closely with a cross-functional team to bring these AI solutions to life.

  • Embrace the challenges of a fast-paced, high-growth environment with a focus on innovation.

Who you are

We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.

Minimum qualifications:

  • 5+ years in backend software development, with a focus on AI.

  • Experience building internal or customer-facing products with LLMs.

  • Proficiency in Python.

  • Expertise in building efficient, large-scale software systems.

  • Skill in writing high-quality, maintainable code. 

  • Experience in design and development of large-scale distributed, high concurrency, high load, high availability systems;

  • Excellent communication and mentoring abilities.

  • A relevant degree in Computer Science, Mathematics or related fields.

Preferred qualifications:

  • Familiarity with MLOps practices and deployment pipelines for AI-driven products.

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

Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

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