AI Engineer

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

📋 Description

• Create and enhance prompts to achieve the best performance of Large Language Models in healthcare settings.

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

• Collaborate with software developers and subject matter experts to incorporate LLM functionalities into WRS Health’s Electronic Health Record platforms.

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

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

• Partner with data scientists to optimize models utilizing healthcare-specific datasets.

• Engage with healthcare professionals and cross-disciplinary teams to ensure LLMs meet user requirements.

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

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

• Update stakeholders on progress, challenges, and insights.

⛳️ Requirements

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

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

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

• Established background in developing and deploying machine learning models.

• Strong programming proficiency in Python and other relevant programming languages.

• Familiarity with Python and NLP libraries (e.g., Hugging Face, spaCy, NLTK).

• Knowledge of APIs for engaging with LLMs and cloud services.

• Understanding of Lang Chain or other frameworks for building LLM systems such as LlamaIndex, AgentGPT, Flowise, TensorFlow, and GPT3 by OpenAI.

• Experience in Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps).

• Familiarity with healthcare terminology and processes is highly preferred.

• Strong analytical and problem-solving skills.

• Excellent communication abilities and capacity to work in cross-functional teams.

• Detail-oriented approach to delivering high-quality outcomes.

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

🏝️ Benefits

• Chance to positively influence patient care.

• Collaborative team environment.

• Flexible remote work options.