Remote Sr. Artificial Intelligence Engineer

Description:

• WRS Health is seeking a skilled Artificial Intelligence Engineer to enhance AI-driven Electronic Health Record (EHR) systems.
• The role focuses on developing and refining AI prompts to improve natural language processing (NLP) applications for healthcare workflows.
• Responsibilities include developing and refining prompts for optimal performance of Large Language Models (LLMs) in healthcare applications.
• The engineer will experiment with various prompt strategies and assess their impact on model responses.
• Collaboration with developers and domain experts is essential to integrate LLM capabilities into WRS Health’s EHR platforms.
• The engineer will ensure prompts support accurate, context-aware responses tailored to healthcare-specific needs.
• Evaluation and analysis of model outputs to identify inconsistencies or areas for improvement is required.
• Collaboration with data scientists to fine-tune models using healthcare-specific datasets is expected.
• The engineer will work closely with healthcare professionals and cross-functional teams to ensure LLMs align with user needs.
• Educating internal teams on prompt engineering best practices and AI applications in healthcare is part of the role.
• Documentation of prompt engineering methodologies, experiments, and outcomes for future reference is necessary.
• Regular reporting of progress, challenges, and insights to stakeholders is required.

Requirements:

• A Bachelor’s or Master’s degree in Computer Science, Data Science, Computational Linguistics, or a related field is required.
• Proven experience with prompt engineering and fine-tuning Large Language Models (e.g., OpenAI GPT, Claude, Llama) is necessary.
• Hands-on experience in developing and deploying NLP models, particularly in the healthcare domain, is a plus.
• Proven experience in leading the development and deployment of machine learning models is required.
• Strong programming skills in Python and other relevant languages are essential.
• Proficiency in Python and NLP libraries (e.g., Hugging Face, spaCy, NLTK) is required.
• Familiarity with APIs for interacting with LLMs and cloud platforms is necessary.
• Knowledge of Lang Chain or other LLM system building frameworks such as LlamaIndex, AgentGPT, Flowise, Tensorflow, GPT3 by OpenAI, and others is preferred.
• A background in Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps) is desirable.
• Understanding of healthcare terminology and workflows is highly desirable.
• Strong problem-solving and analytical abilities are required.
• Excellent communication skills and the ability to work in cross-functional teams are essential.
• Detail-oriented with a focus on delivering high-quality solutions is necessary.

Benefits:

• The position is remote, allowing for flexibility in work location.
• Hours are available during standard US business hours (9am-5pm EST or 8:30am-4:30pm EST).
• WRS Health is an equal opportunity employer, promoting a diverse and inclusive workplace.