Ai Engineer

Summary

Join WRS Health, a leader in cloud-based EMR and practice management solutions, as a skilled Large Language Modeling (LLM) Prompt Engineer. You will play a key role in enhancing our AI-driven EHR systems by developing and refining AI prompts to improve natural language processing (NLP) applications for healthcare workflows. This position involves building applications that enhance user interactions with language-based data, ensuring seamless AI integration within our healthcare solutions. You will collaborate with developers, domain experts, and data scientists to integrate LLM capabilities, fine-tune models, and ensure alignment with user needs. The role also includes educating internal teams on prompt engineering best practices and documenting methodologies. This remote position requires availability during standard US business hours.

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)
• 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 framework such as LlamaIndex, AgentGPT, Flowise, Tensorflow, GPT3 by OpenAI and others
• 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

Responsibilities

• 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

Preferred Qualifications

• Hands-on experience in developing and deploying NLP models, particularly in the healthcare domain, is a plus
• Understanding of healthcare terminology and workflows is highly desirable

Benefits

• Remote
• Available during standard US business hours (9am-5pm EST or 8:30am-4:30pm EST)