AI Infrastructure Engineer
LifeMD
full-time
Posted on:
Location: New York • 🇺🇸 United States
Visit company websiteSalary
💰 $150,000 - $160,000 per year
Job Level
Mid-LevelSenior
Tech Stack
BigQueryCloudGoogle Cloud PlatformPythonSQL
About the role
- About us: LifeMD is a leading digital healthcare company committed to expanding access to virtual care, pharmacy services, and diagnostics by making them more affordable and convenient for all. Focused on both treatment and prevention, our unique care model is designed to optimize the patient experience and improve outcomes across more than 200 health concerns. To support our expanding patient base, LifeMD leverages a vertically-integrated, proprietary digital care platform, a 50-state affiliated medical group, a 22,500-square-foot affiliated pharmacy, and a U.S.-based patient care center. Our company — with offices in New York City; Greenville, SC; and Huntington Beach, CA — is powered by a dynamic team of passionate professionals. About the role: Own and maintain AI infrastructure on GCP powering voice assistants, message routing, and knowledge retrieval systems. Manage deployment pipelines, testing frameworks, evaluation systems, monitoring, and BigQuery datasets.
Requirements
- 3+ years of experience with Python and cloud infrastructure, preferably Google Cloud Platform Experience with AI/ML systems, including working with APIs like OpenAI, Pinecone, and evaluation frameworks Proficiency with AI-assisted coding tools like Cursor, Claude Code, or similar tools Comfortability with data engineering concepts including SQL, BigQuery, data pipelines, and schema management Ability to build robust testing frameworks for complex, multi-component systems with proper error handling and monitoring Eagerness to work with AI technologies and build scalable infrastructure in a healthcare setting Structured and systematic: your code is well-documented, your tests are comprehensive, and you think about failure modes and the end-user experience