HCA Healthcare is seeking a Senior AI Engineer to drive next-generation AI initiatives, focusing on large language models (LLMs) and NLP solutions to improve patient care.
Requirements
- 5+ years of experience in software engineering with a focus on ML and AI System Engineering.
- Advanced proficiency in Python, particularly in object-oriented programming, API development (e.g., using Flask), and working with SQL required.
- Deep expertise in large language models (LLMs) and familiarity with best practices in LLMops, alongside substantial experience with MLOps frameworks such as Vertex AI required.
- Extensive experience with NLP frameworks and libraries such as SpaCy, Transformers, HuggingFace, LangChain, as well as familiarity with other tools (PyTorch, TensorFlow, scikit-learn, NLTK) and techniques including topic modeling, named entity recognition, and information retrieval required.
- Practical experience with large language model prompting techniques, including zero-shot, few-shot, and chain-of-thought strategies required.
- Master's degree in Computer Science or similar field preferred.
Responsibilities
- Lead the research, strategy, design, roadmap, and end-to-end implementation of AI and NLP products, ensuring seamless integration from concept to deployment.
- Be hands-on in implementing cutting-edge techniques derived from current research—including innovations in LLMs, SpaCy, and Transformers—while ensuring robust production standards.
- Spearhead the training, fine-tuning, and deployment process for large language models, incorporating LLMops best practices and advanced prompting techniques (e.g., zero-shot, few-shot, chain-of-thought).
- Design and manage scalable MLOps pipelines, leveraging platforms such as Vertex AI to optimize model training, deployment, and ongoing monitoring.
- Oversee design and code reviews to ensure adherence to internal engineering standards, ethical AI guidelines, and responsible AI practices.
- Collaborate with cross-functional teams to embed AI and NLP capabilities into broader product offerings while clearly communicating technical details to both technical and non-technical stakeholders.
- Mentor and inspire junior AI engineers, fostering an inclusive team environment that drives innovation, continuous learning, and professional growth.
Other
- Bachelor's degree in Computer Science or similar field or a combination of professional experience and education required.
- The job may require travel from time- to-time, but not on a regular basis.
- Hybrid - 2 days onsite per week
- We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
