Application Development Engineer, Educational Media & Resources

Singapore University of Social Sciences

Singapore

Sur place

SGD 70 000 - 110 000

Plein temps

14 jours+

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Résumé du poste

Singapore University of Social Sciences is seeking an Application Development specialist to design, develop and continuously enhance software applications. You will integrate AI services, APIs and cloud-based AI offerings within enterprise apps and ensure UI/UX designs are technically feasible.

You will monitor and optimise AI-enabled applications for performance and reliability, participate in emerging technology research and implement AI-powered capabilities across systems.

Qualifications

  • Experience in AI, GenAI, LLMs and agentic AI technologies.
  • Ability to design AI-powered capabilities for enterprise apps.
  • Familiarity with governance, security and privacy in AI solutions.

Responsabilités

  • Provide, recommend and evaluate software solutions with cost/benefit clarity.
  • Ensure UI/UX designs are technically feasible and integrated.
  • Support deployment and integration with external systems as required.
  • Design, develop and continuously enhance software applications.
  • Integrate and consume AI services, APIs and cloud AI offerings.
  • Monitor, evaluate and optimise AI-enabled applications.
  • Align system design with security standards; perform security assessments.
  • Perform peer code reviews and maintain system quality control.
  • Maintain and upgrade software, troubleshoot issues and patch data.
  • Research emerging technologies and implement AI, GenAI and LLMs.

Connaissances

UI/UX feasibility
AI services integration
APIs
Cloud AI
System integration
Code reviews
Performance tuning
Security awareness

Outils

LLMs
Vector databases
RAG
Knowledge bases

Description du poste

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.
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