AI Engineer

WRS Health

contract

Posted on: 10/18/2025

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Mid-LevelSenior

CloudPythonTensorflow

About the role

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.

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 frameworks 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

Tip: use these terms in your resume and cover letter to boost ATS matches.

prompt engineeringfine-tuningLarge Language ModelsNLP modelsmachine learning modelsPythonHugging FacespaCyNLTKMLOps

problem-solvinganalytical abilitiescommunication skillscollaborationdetail-orientededucational skills