AI Engineer

WRS Health

. Develop and refine prompts to optimize Large Language Model performance in healthcare applications .

Posted 11/12/2026contractRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in prompt engineering and fine-tuning Large Language Models for healthcare applications, with strong programming skills in Python and proficiency in NLP libraries. Collaborates effectively with cross-functional teams to ensure model outputs align with user needs and healthcare workflows.

Highest-signal resume keywords

Prompt EngineeringLarge Language Model Fine-TuningPython ProgrammingNLP Libraries ProficiencyHealthcare Domain Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Prompt EngineeringLarge Language Model Fine-TuningPython ProgrammingNLP Model DevelopmentMachine Learning Model DeploymentAPIs for LLM InteractionMLOpsLLMOpsHealthcare Terminology UnderstandingAnalytical Problem-Solving

Soft Skills

Excellent Communication SkillsDetail-OrientedCollaborative Teamwork

Tools & Technologies

Hugging FaceSpaCyNLTKLang ChainLlamaIndexAgentGPTFlowiseTensorFlowGPT-3Cloud Platforms

Industry Keywords

Healthcare ApplicationsEHR PlatformsModel EvaluationContext-Aware ResponsesCross-Functional Collaboration

Tech Stack

Tools & technologies

CloudPythonTensorflow

About the role

Key responsibilities & impact

Develop and refine prompts to optimize Large Language Model performance in healthcare applications
Experiment with 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 healthcare responses
Evaluate and analyze model outputs to identify inconsistencies and improvement areas
Collaborate with data scientists to fine-tune models using healthcare-specific datasets
Work with healthcare professionals and cross-functional teams to align LLMs with user needs
Educate internal teams on prompt engineering best practices and AI applications in healthcare
Document prompt engineering methodologies, experiments, and outcomes
Report progress, challenges, and insights to stakeholders

Requirements

What you’ll need

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 developing and deploying NLP models; healthcare-domain experience is a plus
Proven experience 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 of Lang Chain, LlamaIndex, AgentGPT, Flowise, TensorFlow, GPT-3 by OpenAI, or similar LLM system-building frameworks
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 ability to work in cross-functional teams
Detail-oriented focus on delivering high-quality solutions
Available during standard US business hours (9am–5pm EST or 8:30am–4:30pm EST)

Benefits

Comp & perks

Make a positive impact on patient care by providing the best available medical practice solutions to physician and medical practice clients
Join a successful and continually growing USA-based company established in 1999
Team-oriented environment