AI Engineer

WRS Health

. Develop and refine prompts for optimal performance of LLMs 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 (LLMs) for healthcare applications, with strong programming skills in Python and proficiency in NLP libraries. Collaborates effectively with cross-functional teams to align AI capabilities with user needs and healthcare workflows.

Highest-signal resume keywords

Prompt EngineeringLarge Language Models (LLMs)Python ProgrammingNLP Libraries (Hugging Face, spaCy, NLTK)Healthcare Terminology

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Prompt EngineeringFine-Tuning ModelsMachine Learning ModelsPython ProgrammingNLP DevelopmentAPIs for LLMsMLOpsLLMOpsLangChainHealthcare Applications

Soft Skills

Problem-SolvingAnalytical AbilitiesCommunication SkillsDetail-OrientedCollaboration

Tools & Technologies

Hugging FaceSpaCyNLTKTensorFlowOpenAI GPTClaudeLlamaLlamaIndexAgentGPTFlowise

Industry Keywords

Healthcare ApplicationsEHR PlatformsHealthcare WorkflowsData ScienceComputational Linguistics

Tech Stack

Tools & technologies

CloudPythonTensorflow

About the role

Key responsibilities & impact

Develop and refine prompts for optimal performance of LLMs 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 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, particularly in healthcare, 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 such as Hugging Face, spaCy, and NLTK
Familiarity with APIs for interacting with LLMs and cloud platforms
Knowledge of LangChain or other LLM system-building frameworks such as LlamaIndex, AgentGPT, Flowise, TensorFlow, and GPT-3 by OpenAI
Background in MLOps and 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 with a focus on delivering high-quality solutions
Availability during standard US business hours (9am–5pm EST or 8:30am–4:30pm EST)

Benefits

Comp & perks

Positive impact on patient care by providing medical practice solutions
Team-oriented environment
Remote work arrangement