Senior AI Engineer

Citizen Health is building an agentic AI caregiver advocate that assists rare disease patients and their families. They are seeking a Senior AI Engineer to design and implement the intelligence behind this AI advocate, focusing on multi-agent orchestration, retrieval pipelines, and tool-use frameworks to ensure effective and reliable patient support.

Responsibilities:

• Design and implement the multi-agent architecture that powers our advocate's ability to reason, plan, and execute complex multi-step tasks (scheduling appointments, filing insurance appeals, researching treatment options) with appropriate guardrails and human-in-the-loop checkpoints
• Build retrieval pipelines over patient medical records, condition-specific knowledge bases, and community-sourced data from 125+ rare disease communities. Ensure the advocate's responses are grounded in the patient's actual medical history, not generic information
• Build and maintain the frameworks that let our agent take real-world actions: browser automation, phone calls, form filling, document generation, and API integrations with healthcare systems. Each tool-use needs to be reliable, auditable, and scoped to the right permissions
• Design the systems that make the advocate's WhatsApp conversations feel natural, contextual, and proactive. This includes long-term memory, conversation state management, personalization, and knowing when to surface information the patient didn't ask for but needs
• Build evaluation frameworks for agentic outputs in a domain where 'good enough' isn't good enough. Develop testing infrastructure for multi-step agent workflows, hallucination detection, medical accuracy validation, and regression testing across model updates
• Design prompt architectures that balance capability, cost, and latency. Evaluate and integrate new models as the landscape evolves. Optimize inference costs — our unit economics depend on it