Applied AI Engineer Intern

About Ant International

Ant International is a leading global digital payment, digitisation and financial technology provider. Through collaboration across the private and public sectors, our unified techfin platform supports financial institutions and merchants of all sizes to achieve inclusive growth through a comprehensive range of cutting-edge digital payment and financial services solutions.

Ant International’s Global Development Centre (GDC) is located at The Exchange 106, within TRX, Malaysia’s dedicated international financial centre. The GDC is Ant International’s strategic hub for world-class talent, driving the innovations that advance inclusive global commerce. It represents another milestone in Ant International’s journey in Malaysia, reflecting the company’s belief that world-class innovation can be developed in Malaysia for global markets, by creating high-value employment opportunities, nurturing local talent and collaborating with public and private sector partners.

About the Role

Our Malaysia Tech Center is advancing cross-border payments, SME digitalisation, and next-generation financial infrastructure, supporting global businesses and products such as WorldFirst, Alipay+, Antom, and Bettr. As an Applied AI Engineer, you will own end-to-end product engineering delivery in an AI-native environment. AI is deeply embedded in how we clarify requirements, design solutions, build software, alongside how we test, deploy, and continuously improve our products—it is not merely an occasional coding aid. You will collaborate with AI agents throughout the delivery lifecycle while applying sound engineering judgment, retaining full accountability for the correctness, security, reliability, and business outcomes of everything delivered.

Your Mission

1. Contribute to clearly scoped product features and fixes under guidance, from requirement clarification to deployment.
2. Build and maintain backend services and APIs following established engineering standards.
3. Ensure code quality through rigorous validation, proactive defect resolution, and response to production feedback.
4. Work within established AI-native engineering workflows, collaborating with AI agents across implementation, testing, debugging, and documentation while validating every output.
5. Participate in technical topic, code reviews, communicate delivery progress or risks timely, and contribute to team knowledge sharing.

Minimum Qualifications

1. Currently pursuing or recently completed a Bachelor’s Degree in Computer Science, Software Engineering, or a related field, or have equivalent practical experience.
2. Foundational programming proficiency in at least one general-purpose language.
3. Conceptual understanding of APIs, databases, version control, and core software development concepts.
4. Proven ability to build and debug working software through coursework, internships, or projects, with strong learning, ownership, and communication skills.

Preferred Qualifications

1. Internship or project experience building a backend service or API connected to a database.
2. Familiarity with automated testing and software quality practices.
3. Experience using AI-native development workflows, including providing context to AI agents and reviewing the outputs.