The University of South Carolina is looking to solve the problem of leveraging Artificial Intelligence (AI) to support academic research and university administrative functions, and is seeking an AI Developer to design, develop, and deploy AI applications.
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.
- Advanced AI Knowledge: Expertise in developing, fine-tuning, deploying, and serving Generative AI models and Large Language Models (LLMs).
- Technical Programming Skills: Proficient in Python programming, with experience using AI frameworks and tools such as Hugging Face Transformers, LangChain, and OpenAI APIs.
- System and Cloud Integration: 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.
- Collaboration and Communication: Ability to effectively collaborate and communicate with interdisciplinary teams, including faculty researchers, administrative stakeholders, and technical staff.
- Problem-solving and Innovation: Demonstrated ability to troubleshoot complex technical issues and develop innovative AI solutions aligned with organizational objectives.
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.
- Prototype and test AI tools for data summarization, Q&A, semantic search, text generation, and other advanced capabilities.
- Conduct model validation and performance evaluations in controlled environments.
Other
- Bachelor’s degree in a job-related field and 4 or more years of job-related experience.
- Ability to work a flexible schedule to meet the needs of the department.
- Commitment to responsive, high-quality service, proactively addressing user needs to enhance stakeholder satisfaction.
- Must be willing to work in a dynamic and supportive work environment with opportunities for professional growth.
- Requires a strong understanding of data governance frameworks, privacy, and compliance standards relevant to research and enterprise environments (e.g., HIPAA, FERPA).
