Build AI infrastructure connecting personal agents with healthcare organizations at Doe, using Python or TypeScript and distributed systems expertise. Work from Toronto as a founding engineer.Doe builds infrastructure for personal agents reaching healthcare organizations, plus AI tools for providers across multiple disciplines. As a Founding AI Infrastructure Engineer, you will create reliable systems carrying requests from patient agents to provider records. Your work spans voice and text agents, interfaces, model operations, and observability.Key Responsibilities:Build runtime orchestration for voice and text agentsDesign interfaces connecting personal agents with healthcare organizationsImprove latency and reliability across speech, model,



and telephony providersBuild evaluation and monitoring for agent changesDesign intelligence model training, versioning, and servingRequirements:Four or more years building distributed systems or production infrastructureHands-on experience shipping LLM-based systems to real usersStrong Python or TypeScript, queues, and cloud infrastructure fundamentalsJudgment to simplify systems before making them cleverExperience with real-time voice, telephony, or WebRTC is usefulShape Doe’s AI infrastructure through distributed systems, agent runtimes, observability, and reliable healthcare connectivity.#J-18808-Ljbffr

📌 Ai Infrastructure Engineer (Winnipeg)
🏢 Doe
📍 Winnipeg