To develop cutting-edge Generative AI and Large Language Model applications that support groundbreaking research and modernize university operations at the University of South Carolina
Requirements
- Strong understanding of Large Language Models, NLP techniques, and prompt engineering
- Experience developing APIs, web applications, or tools for research or enterprise environments
- Proficient in Python programming, with experience using AI frameworks and tools such as Hugging Face Transformers, LangChain, and OpenAI APIs
- Skilled in integrating AI solutions through REST APIs, microservices architectures, containerization (Docker), and deployment within cloud environments (AWS, Azure, GCP) or high-performance computing (HPC) systems
- Experience producing clear, accurate technical documentation and a solid understanding of data governance frameworks, privacy, and compliance standards relevant to research and enterprise environments
Responsibilities
- Design, develop, and deploy GenAI and LLM-based applications to support research and administrative use cases
- Collaborate with researchers and campus stakeholders to identify needs and create scalable, secure, and user-friendly AI tools
- Integrate AI models into secure computing environments and ensure compliance with university data governance and privacy standards
- Provide technical documentation, training, and user support to promote adoption and responsible use of AI tools across the university
- Develop APIs, microservices, or web-based interfaces that enable secure and intuitive interaction with AI models
Other
- Bachelor’s degree in a job-related field and 4 or more years of job-related experience, which may be substituted by an equivalent combination of job-related certification, training, education, and/or experience
- Ability to effectively collaborate and communicate with interdisciplinary teams, including faculty researchers, administrative stakeholders, and technical staff
- Commitment to responsive, high-quality service, proactively addressing user needs to enhance stakeholder satisfaction
- Master’s degree or PhD in a related field (preferred)
- At least 2 years of experience with AI/ML development, including LLMs, transformers, or NLP systems (preferred)
