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Step 1 · Compatibility

Engineer (Enabling Technology Collaboratory) / School of Engineering

Temasek Polytechnic · onsite · closes 9/29/2026

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Good match70% compatible

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70
Profile fit
100
Time fit
60
Industry
40
Role
40
AptitudeNot required for this role
CharacterNot required for this role
  • No specific skills required
  • 7y experience meets the 3y minimum
  • Job is temporary, outside your preferences
  • Schedule works

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Step 2 · The role

EngineeringEducation Skills Developmenttemporary

Engineer (Enabling Technology Collaboratory) / School of Engineering 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. Requirements • 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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