AI & Full-Stack Engineer for Enabling Tech Collaboratory

Temasek Polytechnic

Singapore

On-site

SGD 60,000 - 100,000

Full time

14 days+

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Job summary

Temasek Polytechnic in Singapore seeks an Engineer (Enabling Technology Collaboratory) within the School of Engineering to develop full-stack applications and integrate them with databases, cloud platforms, APIs and AI services.

You will design AI-enabled solutions using AI/ML, LLMs, RAG and autonomous workflows, and work with devices, sensors and simulations. The role includes supervising student projects and engaging with industry partners.

Qualifications

  • At least 3 years of relevant industry or software development experience.
  • Strong programming skills in one or more listed languages.
  • Experience in full-stack web apps and AI/Gen AI development.
  • Experience with cloud deployment and integration.
  • Ability to design maintainable, well-documented code.

Responsibilities

  • Develop full-stack applications and integrate with databases, cloud platforms, APIs and AI services.
  • Design and deploy AI-enabled and agentic AI solutions using AI/ML, LLMs, RAG and autonomous workflows.
  • Integrate applications with devices, sensors, simulation systems and other digital platforms.
  • Collaborate with stakeholders to gather requirements and propose technical solutions.
  • Contribute to applied research, consultancy projects and proposals.
  • 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

C#
Python
JavaScript/TypeScript
C++
Full-stack development
AI/ML
Cloud deployment

Education

CS/CE/EE Degree

Job description

Temasek Polytechnic in Singapore seeks an Engineer (Enabling Technology Collaboratory) within the School of Engineering to develop full-stack applications and integrate them with databases, cloud platforms, APIs and AI services.

You will design AI-enabled solutions using AI/ML, LLMs, RAG and autonomous workflows, and work with devices, sensors and simulations. The role includes supervising student projects and engaging with industry partners.

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