Systems Analyst / Analyst Programmer (ALTO) (Ref: 26001SW)

Founded in 1989, Hong Kong Metropolitan University (HKMU) is a modern, vibrant and dynamic university. We tailor our professional programmes to adapt to market trends and meet industry needs, thus providing our students with quality professional education and clear career paths. Being the first University of Applied Sciences (UAS) in Hong Kong, we pledge to play a pioneering role in enhancing recognition of vocational and professional education and training, and nurturing talents with both applied skills and knowledge.

As a faculty-driven, student-centred university in support of innovative teaching and learning, strategic research, and stakeholder outreach to provide maximum benefit to our communities, we conduct research that advances knowledge and enhances teaching, focusing on strategic areas, including digital humanities and literature, international business, gerontechnology, personalised care, smart city, open and innovative education, and bilingual learning and teaching.

HKMU is becoming an ever more vital link in addressing and helping Hong Kong to solve many difficult challenges – as part of our involvement in, and commitment to, the ‘metropolis’ of Hong Kong. Our plans to expand into the Greater Bay Area (GBA) will also cultivate talent to serve Hong Kong and the wider metropolitan GBA.

For more information about the University, please visit https://www.hkmu.edu.hk.

We are now looking for a suitable person to fill the following position in Office for Advancement of Learning and Teaching (ALTO):

Systems Analyst / Analyst Programmer (ALTO) (Ref: 26001SW)

Major Duties and Responsibilities

The appointee will be responsible mainly for the following:

• Designing, developing, testing, and deploying AI-driven systems for enhancing teaching and learning.
• Administering, maintaining, and enhancing existing systems.
• Enhancing multimedia components and implementing interactive activities/components for courses to support AI-driven learning experiences.
• Providing technical support to end-users, particularly in the context of AI tools and applications.
• Undertaking other duties and responsibilities as assigned by the Director of Advancement of Learning and Teaching and his/her nominees.

Candidates

Candidates should possess the following qualifications, experience, and competence:

• A recognised bachelor’s degree in Computer Science, Artificial Intelligence, or a related discipline.
• At least 2 years’ post-qualification experience in system development, programming, or web application design, preferably involving AI-related projects. Candidates with less experience may be considered for appointment as Analyst Programmer.
• Practical experience or demonstrable knowledge in prompt engineering for AI or LLM-enabled applications, including designing and refining system prompts, user prompts, prompt templates, few-shot examples, and structured-output requirements.
• Proficiency to test, evaluate, and iteratively enhance LLM prompts and responses using representative scenarios and defined quality criteria, including accuracy, relevance, consistency, safety, and handling of unexpected or ambiguous user inputs.
• Proficiency in backend language, such as Python and Node.js, and experience with at least one corresponding web framework (such as Django, FastAPI, Next.js, or Nest.js).
• Proficiency in front-end development using modern technologies such as React, JavaScript/TypeScript, HTML5, CSS3, and JSON.
• Solid knowledge of relational databases and SQL (e.g. PostgreSQL, MySQL or other RDBMS).
• Familiarity with modern software development workflows and system architecture, including version control (Git), basic CI/CD practices, and containerization tools such as Docker.
• Awareness of information security and compliance requirements in system design and deployment.
• Strong analytical and problem-solving skills, with the ability to translate institutional and user needs into practical technical solutions.
• A good command of English.

Candidates may be invited to attend a written test.

Terms and Conditions for Appointment

An attractive remuneration package, including basic salary, an end-of-contract gratuity, and a discretionary incentive payment, where applicable, will be offered to the right candidates. Generous annual leave, staff-development sponsorships, medical and dental benefits, and life insurance coverage will also be provided.

To Apply
Candidates who are interested in joining us may submit their applications via the University’s eRecruitment System:

https://hkmu.taleo.net/careersection/ex\_full\_time/jobapply.ftl?lang=en&job=26001SW

Closing date of application:      26 August 2026

The personal data collected will be used for the purpose of considering your application for employment.  For details, please refer to the “Personal Data (Privacy) Notice for Job Applicant” on the University’s website.  If you are not contacted by the University within eight weeks from the closing date of application, you may assume that your application is unsuccessful.