[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.
