Teams at Tono Health

Build, train, evaluate, deploy, and monitor dermatology computer vision and multimodal models. Responsibilities include lesion detection and tracking, dataset and labeling workflows, inference services, uncertainty estimation, bias evaluation, production monitoring, and integration with TypeScript healthcare products. The role partners closely with physicians and engineers in a regulated environment, emphasizing patient safety, reliability, observability, and iterative production delivery.

Build and operate production data pipelines from clinical, operational, billing, and product systems into trusted warehouse datasets. Responsibilities include ingestion with dlt and Prefect, data modeling in dbt, AI training and evaluation datasets, pipeline testing and monitoring, lineage and alerting, schema changes, backfills, and secure handling of PHI through access controls, de-identification, and audit trails.

Build and operate production AI agent systems and full-stack features across a TypeScript monorepo. Responsibilities include database schemas, APIs, React components, agent infrastructure, telemetry, AI evaluation loops, monitoring, human review, safe fallbacks, and model fine-tuning. The role spans frontend, backend, data, infrastructure, and healthcare workflows in a regulated environment, with ownership of ambiguous problems from design through deployment.