Application Development Engineer

Singapore University of Social Sciences; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Singapore University of Social Sciences seeks an experienced software developer to design, build, and enhance enterprise applications with AI integration and cloud support. You will ensure UI/UX feasibility, deploy with external systems, and monitor AI-enabled solutions.

The role requires 5+ years in software development, strong full-stack skills (Node.js, React), and solid know-how of RESTful APIs, databases and cloud platforms. Team collaboration and security emphasis are crucial.

Qualifications

• 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 with Node.js, React.js, RESTful services, JSON.
• UI/UX feasibility, responsive web interfaces for Web and mobile.
• Database experience with MySQL or MongoDB.
• AWS exposure (EC2, Beanstalk, RDS) and basic Linux admin.
• Understanding of RESTful API architecture and web stacks.

Responsibilities

• Design, develop and continuously enhance software applications.
• Integrate and consume AI services, APIs and cloud-based AI offerings.
• Monitor and optimise AI-enabled applications for performance and reliability.
• Support deployment and integration with external systems.
• Perform peer code reviews and maintain system quality.
• Maintain and improve software based on evolving processes.

Skills

Full-stack development

JavaScript

RESTful APIs

AI integration

GenAI and LLMs

Cloud platforms

Web performance

Cross-browser compatibility

Team collaboration

LangChain / LangGraph

Education

Bachelor's Degree in Computer Science/IT/Software

Tools

Node.js

React.js

HTML5/CSS3

Angular.js

MySQL / NoSQL (MongoDB)

AWS (EC2, Beanstalk, RDS)

Job description

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.