WRS Health is hiring an AI Engineer to enhance our AI-driven Electronic Health Record systems. You will develop and refine AI prompts to improve natural language processing applications for healthcare workflows and build tools that enhance user interactions with language-based data.
What You'll Do
- Develop and refine prompts to ensure optimal performance of Large Language Models 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 our 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.
What We're Looking For
- A 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).
- 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 LangChain or other LLM system building frameworks such as LlamaIndex, AgentGPT, Flowise, Tensorflow, or GPT3.
- Background in Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps).
- 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.
Nice to Have
- Hands-on experience in developing and deploying NLP models, particularly in the healthcare domain.
- Understanding of healthcare terminology and workflows.
Technical Stack
- Languages & Core: Python
- NLP Libraries: Hugging Face, spaCy, NLTK
- Large Language Models: OpenAI GPT, Claude, Llama
- Frameworks & Tools: LangChain, LlamaIndex, AgentGPT, Flowise, Tensorflow
Work Mode
This is a fully remote position.
WRS Health is an equal opportunity employer.
