Application Development Engineer, Educational Media & Resources

What You Will Be Doing

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. 

Job Requirements

•  Bachelor’s Degree in Computer Science/Information Technology/Software
•  At least 5 years of software development experience and minimum 3 complete SDLC projects
•  Experience in Full-stack development, object-oriented analysis & design, building web applications and familiar with the following technology:

-Application Tier: Node.js, React.js and Restful Web Services, JSON etc.
-User interface Tier: responsive user-facing web interfaces for Web and mobile using HTML5, CSS3, Material UI, Angular.js and JavaScript
-Database Tier: Relational database like MySQL or Object-Relational database (No SQL Db) like MongoDB is required
-Server Tier: Amazon Web Services (EC2, beanstalk and RDS) along with basic Linux administration.
-General understanding of RESTful API architecture.

•  Solid understanding of the full web technology stack, including protocols and Web server optimization techniques (e.g HTTP, cookies, headers, asset loading/caching)
•  Proficient understanding of cross-browser compatibility issues and ways to work around them
•  Good interpersonal skills
•  Basic understanding of AI, GenAI, and LLMs.
•  Exposure to AI-assisted application development, including the integration of AI APIs and services from platforms such as OpenAI, Anthropic, AWS, or equivalent cloud AI services.
•  Familiarity with concepts such as: 

-Retrieval-Augmented Generation (RAG)
-AI Agents / Agentic Workflows
-Vector Databases
-Model Context Protocol (MCP)
-Semantic Search and Knowledge Retrieval
•  Experience with AI development frameworks such as LangChain, LangGraph, or similar orchestration frameworks is advantageous.