As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

We are seeking a motivated Research Engineer to join our team in developing an AI Training Studio — an innovative platform for AI-vision-based quality inspection in manufacturing plants. The system will enable users to drag and drop foundational AI models to build customized AI pipelines for tasks such as image enhancement, detection, segmentation, and robotic control.

You will contribute to both the backend development (pipeline orchestration, inference deployment) and the frontend interface (user-friendly drag-and-drop studio, similar to visual workflow tools). This role is ideal for an engineer eager to gain experience in building applied AI systems that bridge research and industrial deployment.

Key Responsibilities

• Backend Development
• Design and implement pipeline orchestration for drag-and-drop AI model workflows.
• Integrate foundational models (classification, detection, segmentation, enhancement) into modular pipelines.
• Build APIs to manage model training, deployment, and inference.
• Automate the process of pushing trained models into an inference engine.
• Frontend Development
• Develop an intuitive drag-and-drop web interface for building AI pipelines (similar to the attached prototype).
• Enable users to configure model parameters, connect modules, and monitor training progress.
• Display performance metrics (e.g., inference time, GPU utilization, throughput, ROI impact) in real time.
• System Integration
• Work with the research team to connect AI pipelines to robotic control systems.
• Support the deployment of trained pipelines in manufacturing testbeds.

Job Requirements

• Have relevant competence in the areas of software and AI development.
• Have a degree in IT or Engineering.
• Experience in AI and any programming language will be advantageous.