Engineer in Residence: Group Therapy AI

career

Mountain View (CA)

On-site

USD 304,668 - 364,932

Full time

14 days+

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Job summary

career is seeking a builder for a 12-week, full-time residency in Mountain View, California, focusing on developing an AI-native pediatric behavioral health provider. This role involves creating a voice-first AI co-facilitator to enhance group therapy while ensuring that therapists maintain control. Compensation is $10,000/month, totaling $30,000 for the residency. The role requires strong full-stack engineering skills, especially in real-time interactive systems, and emphasizes collaboration with clinicians to improve engagement and outcomes.

Qualifications

  • Strong full-stack product engineering experience, especially on real-time voice systems.
  • Experience building GenAI products with a focus on behavior design and safety.
  • Ability to assist licensed professionals without replacing them.

Responsibilities

  • Build the MVP using real-time voice interaction and data capture.
  • Make decisions for a supervised AI co-facilitator role.
  • Test system improvements with clinicians and partners.
  • Ensure design meets healthcare trust requirements.
  • Collaborate with AI Fund's build team.

Skills

Full-stack product engineering
Experience with GenAI products
Managing clinician workflows
AI coding assistant usage

Job description

Group therapy for children often underperforms because therapists have to manage participation, pacing, structure, and documentation in real time. Quiet or socially anxious kids can end up participating least, even though the format is supposed to help them practice social interaction. This role is to build an AI-native pediatric behavioral health provider where a voice-first AI co-facilitator helps clinicians run structured group therapy while keeping therapists fully in control.

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 social confidence or social anxiety groups for children ages 6-12.
  • A care-delivery foundation that can expand into a broader AI-native pediatric provider model if early clinical and engagement results hold.
What You'll Do
  • Build the MVP across real-time voice interaction, therapist UX, session orchestration, and data capture.
  • Make product and system decisions that keep the AI inside a tightly supervised co-facilitator role rather than drifting into autonomous therapy.
  • Work with clinicians and pilot partners to test whether the system improves engagement, consistency, and therapist capacity in real sessions.
  • Design for healthcare trust: overrideability, auditability, operational controls, and clear boundaries around what the AI does not do.
  • Work with AI Fund's build team on 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, and safety matter.
  • Product judgment for expert-in-the-loop workflows where the tool must assist without pretending to replace licensed professionals.
  • Comfort moving from early prototype to real-world pilot with operational complexity.
  • You actively use AI coding assistants and modern GenAI tooling as part of your development stack.
  • 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.
Who This Is For
  • A builder who wants to apply AI to care delivery rather than just workflow software.
  • Someone who understands that the wedge is not "AI therapist" but a tightly scoped, clinician-led system that improves participation and outcomes.
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.

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