Older adults taking multiple medications are often confused about what they're taking, why, and what to watch for. Their caregivers and physicians are working from fragmented, incomplete information. This role is to build an AI chronic care companion that starts with medication management and grows into a coordination layer connecting patients, caregivers, and physicians through precise logs, symptom tracking, and clearer handoffs. What you'll build: A medication management workflow that helps older adults understand what they are taking, why they are taking it, and what conflicts to watch for. A voice-friendly or chat-based interface that works for lower-digital-literacy users. Caregiver and clinician views that turn day-to-day logs into useful summaries and follow-up context. A system for adherence, symptom, and condition tracking that improves continuity of care. What you'll do: Own the build across conversational experience, medication logic, patient and caregiver workflow, and deployment. Design for trust, clarity, and low-friction use by older adults rather than assuming power-user behavior. Decide where GenAI adds value in explanation, summarization, and coordination, and where deterministic safety checks should dominate. Work with patients, caregivers, and clinicians to learn where the product reduces confusion versus creating new risk. Work with AI Fund's build team on wedge selection, local market fit, and what could become a durable chronic care platform. Who this is for: A builder who wants to work on a hard, human problem where clarity and trust matter more than novelty. Someone who can combine product empathy, technical depth, and operational realism in a healthcare-adjacent product. What to know upfront: This is a 12-week, full-time, on-site build residency in Mountain View, California. This role is being built for the Taiwan market, so product decisions need to fit local workflows, patient expectations, and operator realities. Not every residency becomes a company. The point is to validate the wedge quickly and honestly with real users and domain experts. You will be building an AI Fund idea, not bringing your own startup idea into the program. The process typically includes a working conversation, then a 48-hour Builder Challenge, then panel review with AI Fund build leadership.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed