Senior Machine Learning Engineer

What you will do

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 as the platform evolves. Develop AI systems that can support open-ended clinical questions, follow-up interactions, and reasoning over structured and unstructured healthcare context. Implement prompting, grounding, retrieval, and safety strategies that improve output quality, consistency, and clinical relevance. Build evaluation, testing, monitoring, and CI/CD workflows for AI features, including approaches for accuracy, hallucination detection, edge cases, and reliability. Partner with medical, product, analytics, and engineering teams to translate clinical needs into practical AI capabilities that can scale. Own AI systems end to end, from experimentation and ...