Older adults taking multiple medications are often confused about what they're taking, why, and what to watch for and 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.
What you need:
Strong product engineering ability and meaningful experience in health tech, consumer health apps, messaging products, or conversational systems.
A strong sense for UX under trust and accessibility constraints, especially for elderly or low-digital-literacy users.
Experience with GenAI systems, safe summarization, voice or chat interfaces, or messaging platform integrations such as LINE or WhatsApp.
The ability to build both patient-facing simplicity and caregiver or clinician-facing structure.
You know how to use AI coding assistants and modern AI tools to move quickly without losing safety judgment.
You can work on-site in Mountain View, CA for the duration of the residency.
Mandarin fluency is required, since the product is being built for the Taiwan market.
Helpful but not required:
Experience in medication management, care coordination, elder care, or chronic disease support products.
Experience with speech interfaces, multilingual UX, or family-sharing workflows.
Founder or founding engineer experience in consumer health or workflow-heavy products.
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.
Compensation:
$10,000/month for 12 weeks ($30,000 total). This is a contract role during the residency. If the build leads to a funded company, the next step is a founder-level role with meaningful equity upside.
At AI Fund, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy, national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information, military and veteran status, and any other characteristic protected by applicable law.
As part of the interview process, you will be asked to complete a 15-minute AI assessment. We may use AI tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are made by humans.
