The University of South Carolina's Research Computing team needs to develop cutting-edge Generative AI and Large Language Model applications to support groundbreaking research and modernize university operations, thereby accelerating discovery, enhancing teaching, and improving administrative efficiency.
Requirements
- A strong understanding of Large Language Models, NLP techniques, and prompt engineering.
- Experience developing APIs, web applications, or tools for research or enterprise environments.
- Expertise in developing, fine-tuning, deploying, and serving Generative AI models and Large Language Models (LLMs).
- 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.
- Demonstrated ability to troubleshoot complex technical issues and develop innovative AI solutions aligned with organizational objectives.
- Experience producing clear, accurate technical documentation and a solid understanding of data governance frameworks, privacy, and compliance standards relevant to research and enterprise environments (e.g., HIPAA, FERPA).
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
- 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.
Other
- The ability to collaborate with diverse stakeholders and translate complex needs into practical AI solutions.
- Ability to effectively collaborate and communicate with interdisciplinary teams, including faculty researchers, administrative stakeholders, and technical staff.
- Customer Service Orientation: Commitment to responsive, high-quality service, proactively addressing user needs to enhance stakeholder satisfaction.
- Master’s degree or PhD in a related field.
- At least 2 years of experience with AI/ML development, including LLMs, transformers, or NLP systems.
