Beacon is a Canadian healthcare AI company developing structured Advance Care Planning for patients with serious illness or advanced age. Most patients over 70 have never engaged in a substantive conversation about what they value, what trade-offs they would accept, or how they want to be cared for if they cannot speak for themselves. When a crisis arrives, families and clinicians are forced to make consequential decisions with very little to guide them.Our platform conducts guided conversations with patients and synthesizes their responses into Value Portraits: structured, fully cited documents in which every clinical inference traces back to a specific patient statement. These portraits support substitute decision-makers and clinical teams during the highest‑stakes moments of care, while preserving the patient's authentic voice.Beacon is positioned as a Clinical Decision Support software under Canadian regulatory standards, is governed by PIPEDA and PHIPA, and is preparing to be pilot‑ready (TRL 5‑6).Role Description Beacon is hiring its first engineer to lead end‑to‑end development of the platform. The role spans the full stack and focuses on the engineering systems that make the product clinically defensible: the conversational AI that elicits patient values, the citation and verification infrastructure that ties every output to specific patient statements, and the clinical‑facing applications used by substitute decision‑makers and care teams.What you'd do:Lead engineering across design, implementation, and production deploymentOwn the verification systems that ensure clinical outputs are traceable and groundedMake consequential architectural decisions on system design, data handling, and infrastructure, and live with them long‑termTranslate clinical workflow requirements from advisors and pilot partners into technical specificationsEstablish testing, monitoring, and incident response practices appropriate to a regulated healthcare environmentWho we are looking for:Senior full‑stack engineer, comfortable working directly with LLMs and conversational AI systems5+ years of experience, with at least one full 0‑to‑1 product cycleStrong instinct for identifying and addressing failure modes early in design.Cares about the problem. This is end‑of‑life care. If the mission does not move you, this role will burn you outQualificationsStrong full‑stack engineering background, frontend and backendProduction experience with LLM‑powered featuresKnowledge of cloud infrastructure, DevOps practices, and systems architecture (GCP, Amazon Bedrock)Comfortable owning architecture, infrastructure, and data‑handling decisions without a senior engineer to defer toBonus: prior healthcare, regulated‑industry, or 0‑to‑1 startup experienceAbility to lead technical projects from start to finishOntario‑based preferred.Compensation is a mixture of salary and equity.#J-18808-Ljbffr