Remote LLM Prompt Engineer

Description:

• We are seeking a skilled Large Language Modeling (LLM) Prompt Engineer to join our team and contribute to enhancing our AI-driven Electronic Health Record (EHR) systems.
• This role focuses on developing and refining AI prompts to improve natural language processing (NLP) applications for healthcare workflows.
• You will build applications that enhance user interactions with language-based data, ensuring seamless integration and effective utilization of AI capabilities within our healthcare solutions.
• Key responsibilities include developing and refining prompts to ensure optimal performance of Large Language Models (LLMs) in healthcare applications.
• You will experiment with various prompt strategies and assess their impact on model responses.
• Collaborating with developers and domain experts to integrate LLM capabilities into WRS Health’s EHR platforms is essential.
• You will ensure prompts support accurate, context-aware responses tailored to healthcare-specific needs.
• Evaluating and analyzing model outputs to identify inconsistencies or areas for improvement is part of the role.
• Collaborating with data scientists to fine-tune models using healthcare-specific datasets is required.
• You 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 expected.
• Documenting prompt engineering methodologies, experiments, and outcomes for future reference is necessary.
• Regularly reporting progress, challenges, and insights to stakeholders is part of the job.

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.
• 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 required.
• An understanding of healthcare terminology and workflows is highly desirable.
• Strong problem-solving and analytical abilities are essential.
• Excellent communication skills and the ability to work in cross-functional teams are required.
• Being detail-oriented with a focus on delivering high-quality solutions is necessary.

Benefits:

• This position offers the flexibility of remote work.
• You will be expected to be 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 work environment.