Engineer in Residence: Beauty Clinic OS

Beauty clinics in Taiwan operate without consistent tools for photo analysis, longitudinal tracking, or clinical decision support so treatment quality varies by staff and visit. This role is to build an AI-native CRM and clinical OS for medical aesthetic clinics: standardized facial photo analysis, longitudinal progress tracking, and clinician-facing treatment planning that staff can actually use day to day.

What you'll build:
A standardized intake flow for facial photos, patient context, and visit history.

A computer vision pipeline that converts photos into quantified skin-condition summaries rather than generic beauty scores.

Longitudinal tracking that compares outcomes across visits and helps staff understand whether a treatment plan is working.

A clinic-facing workflow for treatment recommendations, follow-up planning, and patient record management.

What you'll do:
Own the technical build across imaging pipeline, application workflow, operator experience, and deployment.

Design evaluation loops for photo consistency, model reliability, explainability, and human-in-the-loop review.

Work closely with clinics to understand how intake, treatment planning, and follow-up really happen on the ground.

Balance ambitious AI functionality with the practical needs of staff adoption, trust, and workflow fit.

Work with AI Fund's build team on product wedge, market learning, and what could become a category-defining clinic platform.

What you need:
Strong engineering ability across computer vision, product software, and end-to-end workflow design.

Experience in medical imaging, skin analysis, health or beauty tech, CRM systems, or recommendation engines.

Judgment about how to build clinician-facing decision support without pretending to automate professional judgment away.

The ability to move quickly from prototype to something a clinic can pilot with real staff.

You know how to use AI coding assistants and modern AI tools to accelerate execution without losing rigor.

You can work on-site in Taiwan for the duration of the residency.

Mandarin fluency is preferred.

Helpful but not required:
Experience with longitudinal patient data, clinical imaging workflows, or clinic-management software.

Experience designing multilingual interfaces or operator workflows for non-technical users.

Founder or founding engineer experience in health, beauty, or workflow software.

Who this is for:
A builder who wants to work at the intersection of computer vision, vertical software, and real-world service operations.

Someone who sees beauty clinic workflow as an operating system problem, not just a model problem.

What to know upfront:
This is a 12-week, full-time, on-site build residency in Taiwan.

These roles are 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:
$8,000/month for 12 weeks ($24,000 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.