AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Create and enhance prompts to achieve optimal performance of Large Language Models in healthcare applications.

• Test various prompt strategies and evaluate their effects on model outputs.

• Partner with developers and subject matter experts to incorporate LLM functionalities into WRS Health’s EHR systems.

• Ensure that prompts facilitate accurate and context-sensitive healthcare responses.

• Assess and analyze model outputs to pinpoint inconsistencies and areas for improvement.

• Work alongside data scientists to fine-tune models utilizing healthcare-specific datasets.

• Collaborate with healthcare professionals and cross-functional teams to ensure LLMs meet user requirements.

• Provide training to internal teams on prompt engineering best practices and applications of AI in healthcare.

• Document methodologies, experiments, and results related to prompt engineering.

• Communicate progress, challenges, and insights to stakeholders.

• Develop applications that enhance user engagement with language-based data and fuse AI capabilities into healthcare solutions.

⛳️ Requirements

• A Bachelor’s or Master’s degree in Computer Science, Data Science, Computational Linguistics, or a related discipline.

• Demonstrated experience in prompt engineering and fine-tuning Large Language Models (e.g., OpenAI GPT, Claude, Llama).

• Practical experience in developing and deploying NLP models, especially within the healthcare sector, is an advantage.

• Proven expertise in creating and implementing machine learning models.

• Strong programming proficiency in Python and other applicable languages.

• Familiarity with Python and NLP libraries such as Hugging Face, spaCy, and NLTK.

• Knowledge of APIs for interfacing with LLMs and cloud service platforms.

• Understanding of LangChain or other frameworks for LLM system development, including LlamaIndex, AgentGPT, Flowise, TensorFlow, and GPT-3 from OpenAI.

• Experience in MLOps and LLMOps.

• Familiarity with healthcare terminology and workflows is highly preferred.

• Strong analytical and problem-solving skills.

• Excellent communication skills and the ability to collaborate within cross-functional teams.

• Detail-oriented with an emphasis on delivering high-quality solutions.

• Availability during standard US business hours (9am–5pm EST or 8:30am–4:30pm EST).

• Application will inquire if the candidate possesses a bachelor's degree in IT, Computer Science, Software Engineering, or a related field.

🏝️ Benefits

• Contribute positively to patient care by delivering medical practice solutions to physicians and medical practice clients.

• Work in a team-oriented environment.