AI Engineer
5 hours ago
📋 Description
• 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.
🎯 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 in developing and deploying NLP models, particularly in the healthcare domain, is a plus. • Proven experience in 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 with Lang Chain or other following LLM system building framework such as LlamaIndex, AgentGPT, Flowise, Tensorflow, GPT3 by OpenAI and others • 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 the ability to work in cross-functional teams. • Detail-oriented with a focus on delivering high-quality solutions.
🏖️ Benefits
• Professional development • Remote work options
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