Mobile Application Developer

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Term: Full Time

Location: San Francisco

Role: Python/IOs Developer

Vertical: Health Care Vertical

$: 120-180k Equity

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. Key Responsibilities: Design and deploy LLM features for therapy, manage offline and online evaluation loops, implement safety systems, and drive a weekly prototype to release cadence. Required Technical Skills:...

Responsibilities

You’ll be the force-multiplier who turns research and product ideas into reliable, safe, user-visible features—fast. Day to day you’ll design prompts/agents, wire in tools, build evals and safety guardrails, and ship to production with the founders, always tying quality to real outcomes. (NEW GRADS OKAY)

• 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 eval loops (unit tests, regression suites, shadow/prod 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

optimizes for builders who have actually shipped LLM systems and love the loop of design → measurement → iteration, in a small, in-person SF team.

• Strong Python plus hands-on prompt/LLM engineering (tool use, function calling, retrieval or memory patterns, evals); you’ve shipped something real users touched.
• Product sense and speed: you can simplify ambiguous problems, choose pragmatic baselines, and deliver value in days—not quarters.
• Track record of safety-critical thinking (red-flag detection, guardrails, fallback paths) and comfort being accountable for quality in production.
• Evidence-driven mindset: you instrument features and are comfortable tying quality to measurable outcomes (not just engagement).
• Collaboration in a tiny, high-trust team: you like building in person with founders and cross-functional partners (design/research). In-person, San Francisco required; w/ US work authorization (with no sponsorship needs)

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

• You’ve shipped mobile product end-to-end (portfolio shows discovery, design, and hands-on build), ideally in Swift/SwiftUI.

• You can design stateful conversational experiences (voice chat) and instrument what you ship to learn quickly.

• You use research and data to decide—e.g., you can explain how you’d evaluate changes with validated measures like GAD-7, not just engagement metrics.

• You thrive on small-team pace and high ownership, collaborating daily with founders in person in SF.

• You treat safety as a product feature and can describe guardrails you’ve designed for sensitive contexts.

Benchmark profile

• Design, hungry, ideally with some engineering skills or interest; new-grad OK.