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Open nowPosted today

Application Development Engineer

MyCareersFuture95,505 open roles

Pay
SGD 3,400 – SGD 5,000 a month
Where
West, Singapore
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Your applicationOpen nowApplication Development EngineerMyCareersFuture · West, Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on MyCareersFuture's own form.

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The clock on this job

Early applications get read.

10.1% of postings close within 7 days. Measured by our own scanner across the market. MyCareersFuture postings stay open a median of 8 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.0%3 days
  3. 10.1%7 days
  4. 15.8%14 days
  5. 34.0%30 days
This job: posted today

MyCareersFuture median: 8 days open

The posting

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.

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