AI Engineer
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Job Description
AI Engineer enhancing AI-driven Electronic Health Record systems for healthcare workflows at WRS Health. Developing and refining AI prompts to improve natural language processing applications and user interactions.
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.
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:
- Make a positive impact on patient care by providing the best available medical practice solutions to our physician and medical practice clients
- Join a successful and continually growing USA-based company established in 1999 whose company size has doubled within the last 3 years
- Become part of a team-oriented environment
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