Teams at DexCare

Build and operate production machine learning and LLM systems for healthcare knowledge management and patient-facing products. Responsibilities include extracting and validating structured knowledge from unstructured sources, developing RAG and agentic pipelines, creating evaluation frameworks, and improving system accuracy, latency, reliability, and cost. The role also involves MLOps, model and data versioning, monitoring, retraining, and HIPAA-compliant handling of patient data.

Build and operate production machine learning, LLM, RAG, and agentic systems that convert unstructured healthcare information into verified structured knowledge. Develop extraction, validation, evaluation, monitoring, and orchestration pipelines; improve accuracy, latency, reliability, and cost; and maintain model, prompt, dataset, and knowledge versioning. Collaborate across product, engineering, and data teams while handling patient information under HIPAA requirements.

Own API reference documentation, developer integration guides, release notes, and user/admin documentation across DexCare products. Maintain OpenAPI specifications and docs-as-code workflows in GitHub and Markdown, collaborate closely with engineering and product teams, validate API behavior, and document launches. The role requires strong REST fluency, code and payload comprehension, excellent written English, and experience creating both developer-facing and end-user documentation. Healthcare or healthtech documentation and AI-assisted workflows are advantageous.