We build software for hospital systems. Specifically, we build a platform that helps clinical teams produce, structure, and manage patient documentation — discharge summaries, care plans, referral letters, and clinical notes. We have 38 NHS trust customers in the UK and are expanding into the US market this year. Our AI team has spent the last eighteen months embedding LLM-powered features into the documentation workflow: draft generation from structured encounter data, automated coding suggestions against ICD-10 and SNOMED CT, and a semantic search layer over the patient record. These features are in production. Clinicians use them every day. The feedback loop is immediate and honest — when the AI produces something wrong or confusing in a clinical context, a consultant will tell us about it within hours. We are hiring an AI Engineer to join the team building these features. The work is technically interesting: the domain vocabulary is highly specialised, the documents follow strict structural conventions, and the consequences of hallucination are not abstract. We expect candidates to take data governance and patient safety seriously — not as compliance overhead, but as a fundamental constraint that shapes good engineering in this domain.