Engineer in Residence, Group Therapy AI

Job description

**Engineer in Residence, Group Therapy AI** Group therapy can underperform because clinicians manage participation, pacing, structure, and documentation in real time. Quiet or socially anxious children can participate least, even though the format is meant to help them practice social interaction. This role is to build a clinician-supervised, voice-first AI co-facilitator for pediatric social-confidence and anxiety groups. **What You'll Build** - A clinician-supervised, voice-first co-facilitator that manages turn-taking, pacing, and structured exercises during pediatric group sessions. - Therapist controls and override workflows that keep clinical judgment with the human provider at all times. - Session data products such as participation tracking, summaries, and structured behavioral signals that support documentation without crossing into diagnosis. - An initial telehealth workflow for children ages 6-12 that can expand into a broader pediatric care model. **What You'll Do** - Own the MVP across real-time voice interaction, therapist UX, session orchestration, data capture, and deployment. - Make product and system decisions that keep the AI inside a tightly supervised co-facilitator role. - Work with clinicians and pilot partners to test whether the system improves engagement, consistency, and therapist capacity in real sessions. - Design for healthcare trust through overrideability, auditability, operational controls, and clear boundaries around what the AI does. - Work with AI Fund's build team on the care-model wedge, technical scope, and route from pilots to a standalone provider. **What You Need** - Strong full-stack product engineering, especially on real-time voice or interaction-heavy systems. - Demonstrated experience building GenAI products where behavior design, control boundaries, safety, and production feedback matter. - Product judgment for expert-in-the-loop workflows where the tool assists without pretending to replace licensed professionals. - Comfort moving from prototype to real-world pilot under operational and trust constraints. - You know how to use AI coding assistants and modern AI tools to accelerate implementation without weakening safety judgment. - US work authorization. We are unable to sponsor visas for this role. **Helpful But Not Required** Experience with speech systems, voice UX, telehealth, behavioral health, or care-delivery workflows. Experience in regulated products, clinician tooling, or outcome-sensitive consumer products. Founder or founding engineer experience shipping a healthcare or workflow product. **Who This Is For** A builder who wants to apply AI directly to care delivery and clinician capacity. Someone who can build a tightly scoped, clinician-led system that improves participation and outcomes without overreaching. **What To Know Upfront** - This is a 12-week, full-time, on-site residency in Mountain View, California. - Not every residency becomes a company. The goal is to pressure-test the idea quickly and honestly with real users and customers. - You will be building an AI Fund idea, not bringing your own startup idea into the program. - The process typically includes a Builder Event or equivalent working conversation, then a 48-hour Builder Challenge, then panel review with AI Fund build leadership. - The compensation is intentionally modest during the residency because the upside, if the idea works, is a founder-level role. **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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.