Application Development Engineer, Educational Media & Resources

Application Development

• Provide, recommend and evaluate various possible solutions and clearly communicate the costs and benefits of the various solutions.
• Ensure the technical feasibility of UI/UX designs.
• Support system deployment and perform integration with various external systems as required.
• Design, develop and continuously enhance software applications.
• Integrate and consume AI services, APIs and cloud-based AI offerings within enterprise applications.
• Monitor, evaluate and optimise the performance, accuracy and reliability of AI-enabled applications.

Security

• Align system design and development with organisational standards and best practices for security and software development.
• Maintain, fix and perform necessary system security assessments on assigned systems to uphold the University's cybersecurity posture.

System Quality Control

• Ensure systems are robust, available and scalable as needed
• Perform peer code reviews.

Maintenance

• Design and improve new and existing software systems based on evolving business processes and stakeholder requirements.
• Maintain software applications and support user inquiries and requests.
• Troubleshoot errors and issues.
• Perform bug fixes and data patching.
• Perform system upgrades and enhancements.

Emerging Technologies Research & Implementation

• Actively participate in researching and implementing emerging technologies.
• Design and propose solutions using emerging technologies for new and existing systems.
• Research, evaluate and implement AI, GenAI, LLMs, and Agentic AI technologies to enhance business processes and user experiences.
• Design, develop and integrate AI-powered capabilities such as intelligent assistants, chatbots, recommendation engines, document processing, knowledge retrieval and workflow automation into new and existing applications.
• Implement and maintain AI solutions using techniques such as Retrieval-Augmented Generation (RAG), vector databases, Model Context Protocol (MCP), AI agents and prompt engineering where applicable.
• Ensure AI solutions comply with organisational governance, security, privacy and responsible AI guidelines.