Application Development Engineer

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.