What you'll do:
- Lead the design, development, and deployment of production, multi-turn LLM-powered features, including summarization tools and clinician-facing conversational agents.
- Own backend services in Python that integrate LLM agents with Fullscript’s platform and support reliable production use.
- Shape engineering patterns for model-related workflows, including testing, CI/CD, observability, and version control.
What you bring to the table:
- 6+ years of experience building and implementing machine learning applications in production, including meaningful experience with LLM-powered agents, conversational experiences, or agent-based workflows.
- Experience designing and deploying AI systems that answer open-ended questions, support follow-up interactions, and operate reliably in production.
- Strong proficiency in Python and SQL.
Bonus if you have:
- Experience defining technical direction for AI or machine learning systems across multiple projects or teams.
- Experience building clinician-facing, healthcare-adjacent, or other high-trust AI experiences.
- Experience with modern retrieval, grounding, or evaluation patterns for LLM applications.