Background

The Asian Institute of Digital Finance (AIDF) is a university-level institute in NUS, jointly founded by the Monetary Authority of Singapore (MAS), the National Research Foundation (NRF) and NUS. AIDF aspires to be a thought leader, a Fintech knowledge hub, and an experimental site for developing digital financial technologies as well as for nurturing current and future Fintech researchers and practitioners in Asia. The Credit Research Initiative (CRI) is a non-profit undertaking under the AIDF. Pioneering the "public good" credit risk measures, the initiative is committed to advancing big data analytics and providing directly useful credit intelligence to academic and professional communities.

Moreover, AIDF-CRI is dedicated to staying updated with the latest trends and technologies, especially for AI and LLMs. We are currently in the process of productionizing an LLM-driven application system to enhance and diversify our credit solutions. This includes redesigning, testing, and improving both the frontend and backend framework.

Responsibilities

AIDF-CRI is actively seeking candidates with a deep passion for full-stack development. The selected candidate will play a key role in transforming an LLM-based application prototype into a fully commercial product by upgrading our prototype to a professional, market-ready level that delivers an exceptional user experience.

Particularly, the responsibilities will include:

• Backend Development
  • Design, develop, and maintain scalable and secure backend systems, focusing on performance, reliability, and security.
  • Develop RESTful APIs based on feature requirements to better integrate LLM powered components into the system.
  • Design and develop scalable services to support various features, managing asynchronous tasks and handling varying request volumes from multiple services.
• Frontend Development
  • Develop and implement responsive user interfaces based on provided UI/UX designs, ensuring a seamless user experience across devices and browsers.
• Optimization and Testing
  • Implement and maintain unit, integration, and end-to-end tests to ensure system reliability and resilience.
  • Collaborate with the QA team to design test plans and participate in user acceptance testing (UAT) to ensure features are fully functional before release.
• Team Collaboration
  • Collaborate with AI engineers, and other stakeholders to ensure seamless integration of frontend and backend logics with AI-driven services.
• Documentation
  • Maintain comprehensive documentation of backend processes, system architecture, and database schema to promote knowledge sharing and ensure smooth onboarding for new team members.

Minimum Requirements

• Preferably degree with major in the areas of computer science/engineering or similar discipline.
• Familiar with at least 1 programming languages (e.g., Python, Java, Golang).
• Familiar with web application development and experience in a modern web framework (e.g Django, FastAPI, SpringBoot, Gin)
• Knowledge of frontend development techniques and familiar with a modern web framework (e.g. React, Vue).
• Familiar with web application development and experience in TypeScript/JavaScript, HTML, CSS, or other frontend languages.
• Understanding of RESTful APIs design principles and practice.
• Experience working with relational and non-relational database servers, including MySQL and MongoDB, is highly desirable.
• Familiarity with version control systems like Git.
• Strong analytical and problem-solving skills, with the ability to troubleshoot and resolve issues effectively.
• Excellent communication and documentation skills, both written and verbal, to collaborate effectively with team members and stakeholders.

Bonus Skills

• Experience with Docker, Kubernetes and Redis.
• Experience with state management libraries like Redux or Vuex.
• Familiarity with modern build tools (Webpack, Vite) and CI/CD pipelines.
• Understanding of UI/UX principles and experience working closely with design teams.
• Interests in microservices.
• Familiarity with caching mechanisms and caching implementation.
• Understanding of parallelism, locking, synchronization, and race conditions in software development.
• Ability to think creatively and propose innovative solutions to complex problems.
• Portfolio or examples of previous full-stack works.
• Exposure to cloud services like AWS, Azure, or Google Cloud for backend deployment.