University of North Carolina at Chapel Hill logo

University of North Carolina at Chapel Hill

AI/LLM Developer/Engineer

🇺🇸 Chapel Hill, NC

🕑 Temporary

💰 $26 - $34 per Hour

💻 Information Technology

🗓️ November 24th, 2025

Langchain LLAMA Python

Edtech.com's Summary

The University of North Carolina at Chapel Hill is hiring an AI/LLM Developer/Engineer for the School of Nursing's Center for Virtual Care Value and Excellence (ViVE). This role involves designing, fine-tuning, and deploying large language models tailored for healthcare applications, building intelligent LLM-powered tools, and collaborating across disciplines to improve healthcare delivery through AI technologies.

Highlights
  • Design, fine-tune, and evaluate large language models (LLMs) using techniques like transfer learning, LoRA, and reinforcement learning with human feedback (RLHF).
  • Develop applications such as chatbots, virtual agents, clinical decision tools, using frameworks like LangChain, LlamaIndex, and semantic search pipelines.
  • Build scalable LLM pipelines including data ingestion, preprocessing, model serving via GPU/TPU, and continuous monitoring.
  • Integrate commercial and open-source LLMs (OpenAI GPT, Claude, Mistral, LLaMA) via APIs or local deployment in digital health systems.
  • Utilize advanced prompt engineering and chain-of-thought strategies to optimize model outputs.
  • Implement retrieval-augmented generation (RAG) architectures using vector databases like Pinecone, FAISS, and Weaviate.
  • Evaluate LLM performance with automated and human-in-the-loop methods assessing accuracy, safety, and user satisfaction.
  • Collaborate with data scientists, UX designers, domain experts, and MLOps teams to ensure real-world applicability and system performance.
  • Monitor system metrics such as latency, throughput, token usage, and cost-effectiveness.
  • Bachelor's degree in Computer Science, Electrical Engineering, or related field with expertise in NLP, RAG, deep learning frameworks, Python, and familiarity with clinical healthcare data required; experience with distributed training, multi-modal models, and cloud deployment preferred.
  • Position offers full-time temporary employment with a pay range of $26.04 - $33.85 per hour for up to 11 months.