Engineer (Enabling Technology Collaboratory) / School of Engineering

[What the role is]

[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:
• oFull-stack web application development;
• oAI, ML, Gen AI and Agentic AI application development;
• oCloud 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.