Carolina Population Center · 2 months ago
AI/LLM Developer/Engineer
North Carolina, US
Full-time, Contract
Onsite
Mid, Senior Level
$26.04/hr - $33.85/hr
3+ years expUNC University Libraries is a global higher education leader in innovative teaching and research. They are seeking an AI/LLM Developer/Engineer to join their AI research team, focusing on projects that leverage Large Language Models and clinical data analysis to improve healthcare delivery.
Responsibilities
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 LangChain, LlamaIndex, 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 using automated and human-in-the-loop methods to assess accuracy, hallucination, safety, and user satisfaction
Collaborate across disciplines with data scientists, UX designers, domain experts, and MLOps to ensure usability, performance, and alignment with real-world needs
Monitor and optimize system performance, including latency, throughput, token usage, and model cost-effectiveness across deployment environments
Stay current with advancements in generative AI, contributing to the internal knowledge base and driving adoption of best practices for ethical and responsible LLM use
Qualification
Required
Bachelor's degree in Computer Science, Electrical Engineering, or related fields
Expertise in Retrieval-Augmented Generation (RAG), Natural Language Processing (NLP), deep learning frameworks
Proficiency in Python and frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, or LangChain
Familiarity with clinical or healthcare data (e.g., EHRs, clinical notes, structured claims data)
Proven research record with peer-reviewed publications in relevant fields
Strong problem-solving skills and the ability to work in a collaborative environment
Preferred
Distributed parallel training and parameter-efficient tuning
Familiarity with multi-modal foundation models, HITL techniques, and prompt engineering
Experience with LLM fine-tuning, prompt engineering, or retrieval-augmented generation (RAG)
Experience deploying large-scale machine learning models in cloud environments
Benefits
Exclusive perks that include numerous retail and restaurant discounts
Savings on local child care centers
Special rates for performing arts events
Company
Carolina Population Center
The Carolina Population Center (CPC) is a community of outstanding scholars and professionals associated to create new knowledge about population size, structure, and processes of change.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase