WRS Health

Technology that frees physicians to do what they do best – Patient Care

AI Engineer

ContractRemoteTeam 201-500H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

22 days ago

Salary

Not specified

Bachelor DegreeEnglishCloudPythonTensorflow

Job 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.

Job 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

  • Health insurance
  • Professional development opportunities

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