Wang - Generative AI Software Engineer

The University of Pittsburgh is seeking a Generative AI Software Engineer Intern to support applications in healthcare. The role focuses on designing, developing, deploying, and maintaining full-stack web and mobile applications that integrate generative AI and large language models across cloud platforms.

Responsibilities:

• Design, develop, test, and debug full-stack web and mobile applications
• Integrate generative AI and LLM models into application workflows
• Deploy applications to cloud platforms such as AWS, Azure, or GCP
• Collaborate with UI/UX designers and AI engineers to deliver high-quality user experiences
• Implement web analytics tools to monitor, analyze, and optimize application performance
• Ensure code quality, maintainability, and scalability in cloud environments

Requirements:

• Proficiency in front-end development (HTML, CSS, JavaScript) and modern frameworks (e.g., React, Angular, or Vue)
• Experience with mobile development frameworks such as React Native or Flutter
• Strong back-end development skills using Node.js, Python, or similar technologies
• Experience deploying applications to cloud environments (AWS, Azure, GCP) using services like EC2, S3, Cloud Run, App Service, etc
• Knows genAI tools (such as LangChain, LangGraph) and LLMs (such as ChatGPT APIs and LLaMA)
• Understanding of web analytics tools (e.g., Google Analytics, Mixpanel) and performance optimization strategies
• Familiarity with CI/CD tools and practices for cloud deployment is a plus