Editorial summary

The company is seeking an Engineer for the Enabling Technology Collaboratory within the School of Engineering to develop full-stack applications integrated with databases, cloud platforms, APIs, and AI services. The role involves designing and deploying AI-enabled solutions using AI/ML, LLMs, RAG, and autonomous workflows, as well as integrating applications with devices and digital platforms. The engineer will collaborate with stakeholders to gather requirements and contribute to applied research initiatives. Candidates should possess strong technical expertise in full-stack development, AI/ML, and system integration; compensation details are not specified.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job id 20339 first appeared in Job-Q.com on 17 Jul 2026]

[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:
• 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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