Mobile Application Developer

Pay Range

$120,000 – $180,000 per year

Transform cutting‑edge research into reliable, user‑visible AI features in a mental health context. This role focuses on turning prompts into production‑ready end‑to‑end LLM features for voice and text therapy sessions, prioritizing safety and evaluation to ensure quality outcomes.

Responsibilities

• Ship end‑to‑end LLM features for voice + text therapy sessions : prompt / agent design, tool use / function calling, latency & turn‑taking handling, and production deployment.
• Build offline and online evaluation loops (unit tests, regression suites, shadow / production checks) that track reliability and user outcomes (e.g., anxiety‑score trends like GAD‑7), and use them to decide what ships.
• Implement and iterate safety systems : risky‑response detection, fallback / deferral strategies, human‑in‑the‑loop escalation, and post‑incident reviews; treat safety as a first‑class product feature.
• Own Python services and lightweight product surfaces (internal tools, small UX hooks) that speed up experimentation and founder feedback loops.
• Partner with Design (voice / chat UX) and Clinical Research to translate findings into product improvements and safeguards; instrument what you ship so we can learn quickly in production.
• Drive a weekly shipping cadence : prototype → evaluate → harden → release; document decisions and metrics so the team can build on them.

Qualifications

Ideal Candidate

We’re looking for a design–engineering hybrid who owns discovery → UX / UI → implementation for our iOS app, iterates quickly with the founders in person in San Francisco, and cares deeply about measurable outcomes and safety.

What Makes You a Strong Fit

Seniority Level

Associate

Employment Type

Full‑time

Job Function

Information Technology

Industries

Hospitals and Health Care and Technology, Information and Media

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