AI Engineer

🔥 3 minutes ago

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 18%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

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• No salary listed.

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WRS Health

WebsiteLinkedInAll Job Openings

201 - 500 employees

🏥 Healthcare

🤝 B2B

Healthcare • B2B

WRS Health is a leading provider of cloud-based Electronic Health Record (EHR) and Practice Management software designed to enhance the operations of medical practices. The company focuses on helping physicians manage their practices effectively, allowing them to concentrate on patient care. They offer a range of solutions including practice management, billing services, and specialty-based EHR systems certified by notable organizations. WRS Health is committed to improving practice efficiency and business growth through automation and process optimization, while continually providing support to their users.

📋 Description

• Develop and refine prompts for optimal 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

• 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 (e.g., Hugging Face, spaCy, NLTK) • Familiarity with APIs for interacting with LLMs and cloud platforms • Knowledge of Lang Chain or other LLM system-building frameworks such as LlamaIndex, AgentGPT, Flowise, TensorFlow, and GPT3 by OpenAI • 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

• Opportunity to make a positive impact on patient care • Team-oriented environment • Remote work arrangement

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