AI Engineer
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Job Description
AI Engineer developing prompt engineering and NLP applications for WRS Health’s cloud-based EHR and practice management platform. Integrating healthcare-focused LLM capabilities into physician workflows.
Responsibilities:
- 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:
- 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:
- Positive impact on patient care by providing medical practice solutions
- Team-oriented environment
- Remote work arrangement
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