Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
Benefits
- Remote position open to candidates located anywhere in the United States
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