Senior Machine Learning Engineer
Job Description & How to Apply Below
Join Fullscript's AI & Analytics Engineering team in a senior individual contributor role. Drive innovation by designing, building, and deploying LLM-powered features that enhance clinician workflows. You'll collaborate with diverse stakeholders to create reliable AI tools while ensuring adherence to real-world healthcare standards.
Key Responsibilities:
• Design and deploy LLM-powered lab result summaries
• Build backend services integrating ML models in Python
• Develop AI systems for open-ended clinical inquiries
• Implement accuracy and safety strategies for AI outputs
• Build CI/CD workflows and monitor AI feature reliability
Requirements:
• 7+ years in machine learning engineering or applied AI
• 2+ years developing LLM applications like conversational agents
• Proficient in Python and SQL in data-heavy environments
• Experience with LLM integration into user-facing products
• Strong engineering practices including Git, testing, and CI/CD
Shape the future of care with your AI expertise at Fullscript.
Position Requirements
10+ Years
work experience
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