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Develop and optimize large language models for clinical documentation, structured reasoning, coding, and related healthcare tasks. Responsibilities include dataset and evaluation framework development, fine-tuning and post-training open-weight models, improving inference cost and latency, and deploying successful research into production. The role requires collaboration with clinical and engineering teams and ownership of experiments from research through scalable implementation.

Develop and optimize large language models for clinical documentation, reasoning, coding, and structured clinical outputs. Responsibilities include fine-tuning and post-training open-weight models, building evaluation frameworks and datasets, reducing inference cost and latency, serving models at scale, and moving research into production. The role collaborates with clinicians and engineering teams to deliver reliable AI in regulated healthcare environments.

Own the Knowtex healthcare application's roadmap, releases, product metrics, analytics, and cross-functional delivery. Write technical specifications, scope APIs, review QA, and use SQL and analytics tools to guide decisions. Prototype workflows with AI coding and design tools, gather clinician feedback through research and site visits, and support launches with release notes, positioning, and enablement materials. Partner closely with engineering, customer delivery, implementation, leadership, and founders in a fast-moving startup environment.

Implement and scale an ambient AI clinical documentation platform across federal and commercial healthcare sites. Responsibilities include clinician onboarding, training, coaching, curriculum development, clinical champion programs, workflow assessments, service recovery, adoption analysis, root-cause investigation of AI documentation issues, prompt recommendations, patient-safety escalation, and collaboration with Product and Engineering. The role requires an active clinical license, substantial patient-care experience, healthcare IT education experience, clinical informatics knowledge, and comfort with AI/NLP-driven documentation workflows.

Design, build, and maintain secure integrations with EMR/EHR platforms, including API-based and legacy systems. Develop healthcare data pipelines, validation and transformation layers, and reliable event-driven workflows. Monitor integration health, troubleshoot production issues, and improve observability. Collaborate with product, clinical, and AI teams to translate workflows into technical designs while contributing to long-term integration architecture.

This position invites individuals to join a talent community, expressing their interests and skills for future roles. It focuses on connecting with potential candidates for future opportunities aligning with the company's mission.