Engineer (Enabling Technology Collaboratory) / School of Engineering

Public Service Division

Singapore

On-site

SGD 90,000 - 130,000

Full time

14 days+
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Job summary

Public Service Division is seeking an Engineer (Enabling Technology Collaboratory) within the School of Engineering to build full-stack applications, integrate with cloud platforms and AI services, and design agentic AI solutions. You will work with diverse stakeholders, supervise student projects, and contribute to research and proposals.

The role emphasizes hands-on development, communication, and teamwork, with opportunities to engage with industry partners and deliver impactful outcomes.

Qualifications

  • Qualification in Computer Science, Computer Engineering, Electronics, Electrical Engineering, or a related discipline.
  • At least 3 years of relevant industry or software development experience.
  • Strong programming skills in one or more languages such as C#, Python, JavaScript/TypeScript, or C++.
  • Hands-on experience in full-stack web development, AI/ML and cloud deployment.

Responsibilities

  • Develop full-stack applications and integrate them with databases, cloud platforms, APIs and AI services.
  • Design and deploy AI-enabled and agentic AI solutions leveraging AI/ML, LLMs, RAG, tool use and autonomous workflows.
  • Integrate applications with devices, sensors, simulation systems and other digital platforms as required.
  • Collaborate with internal and external stakeholders to gather requirements and propose suitable technical solutions.
  • Contribute to applied research, consultancy projects and proposal development.
  • Conduct PET and CET lessons, specialised courses, workshops and demonstrations.
  • Supervise student projects and internships.
  • Support project delivery, outreach activities and engagement with industry partners.

Skills

Full-stack development
AI/ML/Gen AI
Cloud deployment
LLM APIs & tool integration
Team collaboration

Education

Computer Science / Computer Engineering / Electronics / Electrical Engineering

Job description

[What the role is]

Engineer (Enabling Technology Collaboratory) / School of Engineering

[What you will be working on]
  • Develop full-stack applications and integrate them with databases, cloud platforms, APIs and AI services.
  • Design and deploy AI-enabled and agentic AI solutions leveraging AI/ML, LLMs, RAG, tool use and autonomous workflows.
  • Integrate applications with devices, sensors, simulation systems and other digital platforms as required.
  • Collaborate with internal and external stakeholders to gather requirements and propose suitable technical solutions.
  • Contribute to applied research, consultancy projects and proposal development.
  • Conduct PET and CET lessons, specialised courses, workshops and demonstrations.
  • Supervise student projects and internships.
  • Support project delivery, outreach activities and engagement with industry partners.
[What we are looking for]
  • Qualification in Computer Science, Computer Engineering, Electronics, Electrical Engineering, or a related discipline.
  • At least 3 years of relevant industry or software development experience.
  • Strong programming skills in one or more languages such as C#, Python, JavaScript/TypeScript, or C++.
  • Hands-on experience in:
  • o Full-stack web application development;
  • o AI, ML, Gen AI and Agentic AI application development;
  • o Cloud application deployment and integration.
  • Ability to design maintainable software solutions and develop well-documented, reusable code.
  • Strong analytical, problem-solving, communication and teamwork skills.
  • Experience in client engagement, training delivery, student supervision, or technical proposal preparation will be advantageous.
  • Familiarity with LLM APIs, RAG, tool integration, agent orchestration frameworks, or embodied AI will be an added advantage.
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