AI​/LLM Developer​/Engineer

Department: Sch of Nursing - 440100

Career Area: Information Technology

Posting Open Date: 10/23/2025

Final date to receive applications: 01/11/2026

Position Type: Temporary Staff (SHRA)

Position Title: AI/LLM Developer/Engineer

Position Number:

Vacancy : S026301

Full-time/Part-time: Full-Time Temporary

Hours per week: 40

Position Location: North Carolina, US

Hiring Range: $26.04 - $33.85 per hour

Estimated Duration of Appointment: 6 months not to exceed 11 months

A global higher education leader in innovative teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation’s top public universities. Known for its beautiful campus, world‑class medical care, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn. One of the best college towns and best places to live in the United States, Chapel Hill has diverse social, cultural, recreation and professional opportunities that span the campus and community.

University employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks that include numerous retail and restaurant discounts, savings on local child care centers and special rates for performing arts events.

The mission of the School of Nursing is to enhance and improve the health and well-being of the people of North Carolina and the nation, and, as relevant and appropriate, the people of other nations, through its programs of education, research, and scholarship, and through clinical practice and community service. The University of North Carolina at Chapel Hill School of Nursing has been the leader in nursing education in North Carolina throughout its history.

Established in 1950, it was the first school of nursing in North Carolina to offer a four‑year baccalaureate nursing degree program followed by the first master’s degree program, the first continuing education program for nurses, first doctoral program, and first accelerated BSN option to students with college degrees. Today, the School is renowned for its academic programs, its research and its commitment to clinical and community service within state, national and global communities.

The Center for Virtual Care Value and Excellence (ViVE), led by Dr. Saif Khairat, is seeking an AI/LLM Developer/Engineer to join our AI research team. This is an exciting opportunity to contribute to innovative projects at the forefront of healthcare delivery improvement, leveraging Large Language Models (LLMs) and clinical data analysis.

About the Position:
We are looking for individuals with a strong theoretical and practical background in large language models, machine learning, and natural language processing, combined with a collaborative spirit and a drive for problem‑solving. You’ll join a multidisciplinary team that values diversity and brings together expertise in software engineering, big data, clinical informatics, and medicine.

• Design, fine‑tune, and evaluate large language models (LLMs) tailored to domain‑specific applications using techniques such as transfer learning, LoRA, and reinforcement learning with human feedback (RLHF).
• Build intelligent applications powered by LLMs, including chatbots, virtual agents, clinical decision tools, or document analyzers, using frameworks like Lang Chain, Llama Index, or semantic search pipelines.
• Develop scalable LLM pipelines and infrastructure, including data ingestion, preprocessing, model serving (via GPU/TPU), and continuous performance monitoring.
• Integrate commercial and open‑source LLMs (e.g., OpenAI GPT, Claude, Mistral, LLaMA) via APIs or local deployment into digital health or enterprise systems.
• Craft and iterate prompts using advanced prompt engineering and chain‑of‑thought strategies to improve output relevance, tone, factuality, and task completion.
• Implement retrieval‑augmented generation (RAG) architectures to enhance context awareness using vector databases (e.g., Pinecone, FAISS, Weaviate).
• Evaluate LLM performance…