Tech and Engineering
Model applications, full-stack development, data engineering, agents and AI engineering.
Whatever your field, there is a place here if you are ready to learn, share and act.
AI products require many capabilities. Your discipline is not a boundary; it is an irreplaceable perspective for the team.
Model applications, full-stack development, data engineering, agents and AI engineering.
User insight, requirements, product strategy, project management and business validation.
Interaction design, visual communication, brand experience and human-AI collaboration.
Content, marketing operations, brand building, user growth and event planning.
Tell us about your interests, experience and what you want to build. We value honest expression, not standard answers.
Have a two-way conversation about your direction, expectations and way of contributing to find the right place to collaborate.
Join sharing sessions, projects and event teams to build skills, a portfolio and trusted partnerships.
Yes. We welcome everyone willing to learn and build. Technology is only one part of AI innovation; product, design, marketing and operations matter too.
Activities include frontier technology sharing, AI-native workshops, product competitions, university-industry projects, company exchange and inter-university events.
Commitment varies by project and role. We respect individual schedules while valuing reliability, genuine participation and sustained collaboration.
Follow university announcements and AIIA's official channels. Main recruitment usually takes place at the beginning of the autumn semester.
Follow university announcements for recruitment and events. To connect, collaborate or join, emailhitszaiia@qq.com