Senior Machine Learning Engineer (Fully Remote)

Fullscript

United States

Remote

USD 140,000 - 190,000

Full time

14 days+
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Job summary

Fullscript is a health tech platform seeking engineers to design, build, and deploy LLM-powered features such as lab result summaries, clinical workflows, and practitioner-facing agents. You’ll create backend services integrating LLMs/ML in Python, with growing exposure to Elixir, and partner with medical, product, analytics, and engineering teams.

You’ll own AI systems end to end from experiment to production.

Job description

  • 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.
Fullscript

Fullscript is a health technology platform that helps practitioners deliver better care through clinical insights, lab interpretations, and patient analytics. With over 125,000 practitioners and 10 million patients, the company emphasizes a people-first culture, teamwork, and continuous learning in a remote-first environment.

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