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Signal 1 is building an AI Management System for healthcare, addressing the critical gap where 95% of AI initiatives in health systems fail to deliver measurable impact. The company was founded by Tomi Poutanen (former Chief AI Officer at TD Bank, co-founder of Vector Institute) and Mara Lederman (Rotman professor, Creative Destruction Lab lead), with backing from Geoffrey Hinton.
You will join a small, high-ownership engineering team building the Agent Control Plane—a zero-to-one product extension that gives hospitals a unified platform to manage, evaluate, govern, and interact with all their AI agents. These agents handle critical clinical tasks: drafting discharge summaries, reconciling medications, preparing prior authorization reviews, and scheduling patients. Every agent operates on real patient data within real clinical workflows and must be visible, evaluated, and defensible from day one.
In this role, you will own features end-to-end: from ambiguous problem to production. You'll design data models, build backend services and pipelines, and work across the frontend as needed. Key responsibilities include designing systems that ground agents in hospital context, evaluating agent behavior in dynamic clinical environments, and extracting actionable insights for continuous improvement. You'll work with messy, real-world data—ingesting agent telemetry from multiple runtimes, healthcare standards like FHIR, and clinician feedback—then transform it into reliable datasets for product evaluation.
You'll prototype directly with design partners (leading health systems including NewYork-Presbyterian and Mount Sinai), build demos and pilots, and iterate based on real usage within days. Agent observability and evaluation in healthcare is a nascent field with no established playbook; you'll be expected to invent solutions, test them against real data, and share learnings. The team works 1-2 days per week in the Toronto office and values engineers who have shipped ML-powered products from first commit to production and want to do it again with significantly more ownership and impact.
