Senior Machine Learning Engineer

Role Responsibilities:

• Design, build, and deploy LLM-powered product features, including lab result summaries, clinical workflow tools, and practitioner-facing conversational agents.
• Build backend services that integrate LLMs and ML models into Fullscript's platform, primarily using Python, with increasing exposure to Elixir.

Technical Focus:

• Develop AI systems that support open-ended clinical questions, follow-up interactions, and reasoning over structured and unstructured healthcare context.
• Implement prompting, grounding, retrieval, and safety strategies to improve output quality, consistency, and clinical relevance.

Collaboration and Ownership:

• Partner with medical, product, analytics, and engineering teams to translate clinical needs into practical AI capabilities.
• Own AI systems end to end, from experimentation and prototyping through production deployment, iteration, and ongoing improvement.

Company Culture:

• Great work happens when people feel supported, trusted, and inspired. We stay curious and keep finding smarter ways to make care better.
• We grow together, take on new challenges, focus on impact, and leave egos at the door.