AI Agent Development & Web DevelopmentAt — University of San Jose
AI Agent Development
• Design and development of AI agents for task automation and intelligent workflows
• Implementation of LLM-based systems, including prompt engineering and workflow orchestration
• Development and testing of AI-driven applications for real-world use cases
• Integration with APIs, databases, and external systems
• Participation in applied AI innovation projects
Web Development
• Design and development of web platforms supporting AI agent systems
• Front-end development (HTML5, CSS3, JavaScript, React or similar frameworks)
• Back-end support (APIs, database integration, server-side logic)
• Development of dashboards, admin systems, and AI interaction interfaces
• Collaboration with cross-functional teams to deploy production-ready systems
- Apply academic knowledge to real-world tasks and challenges.
- Develop effective communication skills in a professional setting.
- Strengthen time management and organizational abilities.
- Gain experience in working collaboratively within a team.
- Understand workflows, processes, and responsibilities relevant to the field.
- Analyze problems, propose solutions, and reflect on outcomes.
- Develop adaptability in response to new challenges and tasks
Orientation (1-2 days): Basic onboarding workshop to introduce company policies, workflows, and safety guidelines.
This is a standard on-site office role with minimal physical risks. Students will be provided with an ergonomic workstation. Basic office safety and emergency evacuation procedures will be covered during the mandatory onboarding orientation on your first day. Additionally, students must adhere to standard IT security protocols and company guidelines when handling data.
To apply, please submit your current resume and a brief cover letter detailing your interest in data analysis and technical content development. Applications are reviewed on a rolling basis. Selected candidates will be invited for a 30-minute on-site interview with the project supervisor.
| Hours | Duration |
|---|---|
| 20 | hours per week |