Job Summary

We seek a highly motivated and detail-oriented Prompt Engineer to join our AI team. As a Prompt Engineer, you will design, optimize, and test prompts to fine-tune our language models for various healthcare applications, including clinical decision support, documentation automation, patient engagement, and more. Your work will be instrumental in ensuring our AI models provide accurate, reliable, and context-aware outputs tailored to the unique challenges of the healthcare industry.

Key Responsibilities

• Design, develop, and test prompts to optimize performance of large language models (LLMs) across healthcare use cases.

• Collaborate closely with AI researchers, product managers, and healthcare domain experts to define prompt requirements that align with clinical workflows.

• Continuously refine prompts based on testing, real-world performance, and end-user feedback to improve model accuracy, contextual relevance, and user satisfaction.

• Develop libraries of reusable, modular prompts for common healthcare tasks like summarizing clinical notes, generating reports, and providing diagnostic suggestions.

• Analyze the behavior of AI outputs, identify edge cases, and troubleshoot inaccuracies to improve system reliability.

• Ensure prompts adhere to industry-specific compliance standards, such as HIPAA, and support secure handling of sensitive healthcare data.

• Document prompt designs, iterations, and testing outcomes to build a robust knowledge base for continuous improvement.

• Stay current with advancements in LLMs, NLP, and AI techniques, particularly as they apply to healthcare challenges.

Requirements

• Bachelor’s or master’s degree in computer science, Artificial Intelligence, Linguistics, Healthcare Informatics, or a related field. Relevant experience may substitute for formal education.

• 4+ years of experience working with NLP, large language models (e.g., GPT, Claude, etc.), or AI systems.

• Demonstrated experience in prompt design, fine-tuning, or optimization of AI models.

• Strong understanding of healthcare workflows, terminologies (e.g., ICD, CPT codes), and clinical documentation processes.

• Proficiency in Python, APIs for LLMs, or related tools to test and validate prompts.

• Ability to analyze AI performance metrics and provide structured feedback for model improvement.

• Excellent problem-solving and analytical skills, with a keen eye for detail.

• Exceptional written and verbal communication skills to articulate complex ideas to technical and non-technical audiences.

Preferred Qualifications

• Prior experience working in healthcare technology, AI-powered clinical decision systems, or medical NLP solutions.

• Experience with tools like OpenAI, Hugging Face, or other prompt optimization frameworks.

• Exposure to EHR/EMR systems and patient engagement platforms.