WRS Health
Technology that frees physicians to do what they do best – Patient Care
AI Engineer
Location
United States
Posted
22 days ago
Salary
Not specified
Bachelor DegreeEnglishCloudPythonTensorflow
Job Description
• 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.
Job Requirements
- 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.
Benefits
- Health insurance
- Professional development opportunities