Teams at Knowtex

Build and scale Knowtex’s native Android application for clinical documentation. Own mobile workflows including recording, authentication, patient selection, note review, APIs, audio, background processes, and device capabilities. Improve reliability, security, observability, performance, and release quality while collaborating across engineering, product, and customer teams. Support enterprise healthcare deployments, investigate escalations, and contribute to technical design and code reviews.

Build and scale frontend-leaning web experiences for AI-powered clinical workflows. Responsibilities include developing React and Node.js applications, EHR-integrated features, audio workflows, secure APIs, accessible interfaces, and supporting infrastructure. The engineer will improve reliability, observability, and performance; collaborate across engineering, product, and customer teams; participate in technical reviews; and investigate customer escalations.

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.