WRS Health · 18 hours ago
AI Engineer
United States
Full-time
Remote
Mid, Senior LevelWRS Health is a leading provider of integrated cloud-based EMR and practice management solutions. They are seeking a skilled Artificial Intelligence Engineer to enhance their AI-driven Electronic Health Record systems by developing AI prompts and improving natural language processing applications for healthcare workflows.
Medical DevicePaymentsHealthcareSoftwareHospitalMarketingBillingElectronic Health Record (EHR)Health CareMedical
Responsibilities
Develop and refine prompts to ensure optimal performance of Large Language Models (LLMs) in healthcare applications
Experiment with various prompt strategies and assess their impact on model responses
Collaborate with developers and domain experts to integrate LLM capabilities into WRS Health’s EHR platforms
Ensure prompts support accurate, context-aware responses tailored to healthcare-specific needs
Evaluate and analyze model outputs to identify inconsistencies or areas for improvement
Collaborate with data scientists to fine-tune models using healthcare-specific datasets
Work closely with healthcare professionals and cross-functional teams to ensure LLMs align with user needs
Educate internal teams on prompt engineering best practices and AI applications in healthcare
Document prompt engineering methodologies, experiments, and outcomes for future reference
Regularly report progress, challenges, and insights to stakeholders
Qualification
Required
Bachelor's or Master's degree in Computer Science, Data Science, Computational Linguistics, or a related field
Proven experience with prompt engineering and fine-tuning Large Language Models (e.g., OpenAI GPT, Claude, Llama)
Hands-on experience in developing and deploying NLP models, particularly in the healthcare domain, is a plus
Proven experience in developing and deploying machine learning models
Strong programming skills in Python and other relevant languages
Proficiency in Python and NLP libraries (e.g., Hugging Face, spaCy, NLTK)
Familiarity with APIs for interacting with LLMs and cloud platforms
Knowledge with Lang Chain or other following LLM system building framework such as LlamaIndex, AgentGPT, Flowise, Tensorflow, GPT3 by OpenAI and others
Background in Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps)
Understanding of healthcare terminology and workflows is highly desirable
Strong problem-solving and analytical abilities
Excellent communication skills and the ability to work in cross-functional teams
Detail-oriented with a focus on delivering high-quality solutions
Company
WRS Health
More than just a cloud-based EHR & Practice Management software.
Founded in 1999
201-500 employees
Funding
Current Stage
Growth StageLeadership Team
Lawrence Gordon
CEO
Resa Barbalich
Director of Clinical Services
Company data provided by crunchbase