Senior AI and Large Language Model (LLM) Engineer
Core
Lead the design, customization, and integration of large language models (LLMs) into biomedical research workflows and information retrieval systems.
Role type
Senior IC machine-learning engineer (LLM)
Builds
AI-enabled search, retrieval, and knowledge discovery tools for NCBI platforms (e.g., PubMed)
Domain
Biomedical research and life sciences
Deliverable
production ML models
Required skills
LLM training and fine-tuning, RAG system development, ML system architecture, scalable deployment, Python programming, modern ML frameworks (PyTorch, Hugging Face), vector databases
Preferred skills
Biomedical research system development, large scientific corpora handling, biological sequence analysis (DNA/RNA/protein), bioinformatics background, hallucination reduction in regulated environments
Technologies
PyTorch, Hugging Face, vector databases
Responsibilities
Define AI-enabled capabilities and LLM use cases across NCBI platforms, develop RAG systems integrating LLMs with biomedical datasets, provide architectural guidance on model selection and deployment, improve model grounding and factual accuracy, support engineering teams in productionizing AI solutions, evaluate emerging LLM techniques
Seniority
Senior, hands-on IC