Build the infrastructure that connects personal agents to healthcare organizations.
Patients are starting to reach healthcare through their own personal AI agents: to find a provider, book a visit, ask about coverage, or check on a result. Doe is the infrastructure that connects those agents to healthcare organizations, from single practices to multi-site groups.
On top of it, we build AI tools for providers in every discipline, from primary care and dentistry to mental health, physiotherapy, and specialty care. Each organization gets its own intelligence model, trained on how it actually runs, and agents that answer, schedule, and follow up on its behalf. We are a small team of engineers, designers, and clinicians building it together.
Doe sits between patients' personal agents and the healthcare organizations they reach. You will own the path from a patient's first word to the provider's record,



for every discipline we serve, and make it hold up at scale.
Design the interfaces personal agents use to reach healthcare organizations through Doe.
Build evaluation and monitoring so every agent change is measured before and after it ships.
Design how each organization's intelligence model is trained, versioned, and served.
Four or more years building distributed systems or production infrastructure.
Hands-on experience shipping LLM-based systems to real users.
Solid fundamentals in Python or TypeScript, queues, and cloud infrastructure.
Work on evaluation frameworks for language models.
Experience with healthcare data, such as FHIR or HL7, or another regulated industry.

📌 Founding Ai (Canada)
🏢 Doehealth
📍 Canada