Found Description
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 sca...
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