Founding Engineer - AI-Native Mental Health Care

Noxx San Francisco Bay Area
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AI Summary

Founding Engineer for AI-Native Mental Health Care company. Own core product and agent systems end-to-end. Build real LLM agents as coworkers and shape human + AI ops UX.

Key Highlights
Own core product and agent systems end-to-end
Build real LLM agents as coworkers
Shape human + AI ops UX
Key Responsibilities
Own event-driven backend
Build real LLM agents as coworkers
Shape human + AI ops UX
Define world-state & simulation
Own data, safety & compliance
Drive architecture & strategy
Technical Skills Required
Node.js TypeScript Postgres Supabase AWS LLMs agents tool-calling embeddings + vector DBs Langfuse-style observability
Benefits & Perks
Competitive salary
Early-Stage Equity: 0.2%-0.8%
Health Insurance: Medical, dental, and vision benefits
In-person retreats
Meal stipends
Flexible, unlimited vacation policy
Nice to Have
Experience with Node.js / TypeScript, Postgres, or Supabase
Experience with LLMs, agents, tool-calling, or RAG
Experience in healthcare, fintech, or other regulated / high-stakes domains

Job Description


Founding Engineer – AI-Native Mental Health Care 

In-Person in SF

$10,833 - $20,833 USD / month


🛸 Noxx is hiring on behalf of another AI company (backed by Y Combinator, $3.3M+ ARR, $7M+ raised)


About the Client

This company is backed by Y Combinator and building autonomous mental healthcare—AI that takes real responsibility across the full care loop: before the visit, during the visit, and after the visit.

We run our own psychiatric practice, which means we ship into reality—not theory. We’re rebuilding the patient experience end-to-end:

  • Outside the visit: scheduling, intake, benefits checks, paperwork, reminders, care coordination, billing, risk detection, follow-ups, and patient messaging
  • Inside the visit: visit support, real-time note scaffolding, structured history capture, differential reasoning support, diagnostic signal extraction, treatment planning assistance, medication decision support, and clinician workflows that make great care feel effortless


Not “doctor-in-a-box.” Not a layer of prompts. We’re building AI teammates that clinicians can trust—agents that do the work, show their reasoning, handle edge cases, and escalate cleanly when humans need to step in.


Our agent system already supports 2,200+ patients with a tiny team. The systems you build go straight into production and show up in patient outcomes, clinician velocity, and the quality of care—immediately.


We exist to make mental healthcare fast, affordable, and excellent at scale. This role is one of the highest-leverage ways to get there: you’ll help turn clinical judgment into reliable systems, and turn AI from a tool into a true operator—so patients get sharper care and clinicians get their time back.


🚀 Role: Founding Engineer – AI-Native Mental Health Care (In-Person in SF)

We're hiring a Founding Engineer to own core product + agent systems end-to-end. You’ll build the layer that coordinates patients, clinicians, and AI agents as one coherent machine—tight feedback loops, high standards, and real ownership.


This isn’t “just infra.” It’s building the product heart of an autonomous care system: the workflows, the agent behaviors, the guardrails, the integrations, the UX that makes it usable, and the reliability that makes it trusted.


Roles evolve quickly here—including mine. I’m looking for someone who wants to carry real weight, take full ownership, and grow into running major parts of the system—not someone who needs a perfectly scoped box to operate inside.


✅ What You’ll Do

  • Own our event-driven backend – Architect and scale our Node.js / TypeScript / Supabase (Postgres) / AWS stack. Design schemas, invariants, and workflows that encode how psychiatric care actually operates. Turn messy real-world processes into clean state machines and event streams.
  • Build real LLM agents as coworkers – Implement tool use, retries, memory, and safety rails. Design action schemas and evaluation loops so agents can run reliably in production. Work on orchestration, context management, and multi-step workflows.
  • Shape human + AI ops UX – Build internal tools used by both humans and agents. Make it trivial to see “what happened, why, and what should happen next” in any patient journey.
  • Define world-state & simulation – Model the canonical state of a patient’s journey across time. Power alerting, routing, and decision-making from that live simulation.
  • Own data, safety & compliance – Engineer HIPAA-compliant pipelines for transcripts, events, and EHR data. Ensure PHI access, agent actions, and human overrides are all auditable.
  • Drive architecture & strategy – Work directly with me to debate tradeoffs, define new primitives, and decide what we build next.

You don’t need to be a pure backend engineer—we value great product engineers who can learn fast, make strong simplifying decisions, and grow into owning backend/agent systems.


🏆 You Might be a Fit If…

  • You’ve owned real systems 0→1 or 1→N, not just tickets.
  • You think in events, state, and invariants, not just CRUD endpoints.
  • You’re either already LLM-fluent or a strong systems/backend engineer who can get dangerous fast.
  • You care about velocity and correctness—moving quickly while keeping things understandable and robust.
  • You like small, high-candor teams and direct feedback.
  • You want to see your work go live in production weekly, not sit on a roadmap.


🧰 Nice to Have

  • Experience with Node.js / TypeScript, Postgres, or Supabase.
  • Experience with LLMs, agents, tool-calling, or RAG.
  • Experience in healthcare, fintech, or other regulated / high-stakes domains.
  • Experience in early-stage startups or founding teams.


💻 Our Tech Stack

  • Backend: Node.js, TypeScript, Supabase (Postgres), AWS (ECS, Lambda, S3)
  • Frontend: Next.js 15 (App Router), Tailwind, Vercel
  • AI: OpenAI, Anthropic, tool-calling agents, embeddings + vector DBs, Langfuse-style observability
  • Other: PHI security, audit trails, real-time schedulers, transcript ingestion


📝 How to Apply and Hiring Process

  • Overview of our hiring process:
  1. Systems/portfolio deep dive (45 min) – walk through 1–2 systems you’ve shipped; architecture, tradeoffs, failure modes.
  2. Practical work trial (1.5 hours) – short, realistic backend/LLM-systems exercise. No LeetCode, no puzzles.
  3. Final onsite (1.5 hours) – meet the team, pair on a real issue, and talk through how you’d own a domain.
  • Estimated time-to-hire: 7–10 days
  • Start date: ASAP


📍 Role Logistics, Compensation, and Benefits

  • Job type: Full-time
  • Role type: Engineering
  • Ideal Experience Level: Doesn’t matter if you’re cracked
  • US Visa Sponsorship: Yes
  • Salary: Competitive
  • Early-Stage Equity: 0.2%–0.8% meaningful early ownership
  • Health Insurance: Medical, dental, and vision benefits
  • Additional Perks: In-person retreats, meal stipends, etc.
  • Time Off: Flexible, unlimited vacation policy
  • Work Hours: Flexible but demanding because we're literally saving lives
  • Work Setup: In-person @ San Francisco HQ
  • Impact: Work on something that truly matters to millions of patients and families.
  • Autonomy and Learning: Ownership over your projects with the freedom to set priorities, shape processes, and drive outcomes end-to-end.
  • Growth Opportunities: As we scale, we envision our top performers from our founding team stepping into expanded roles and joining our executive leadership team.


🤝 Equal Employment Opportunity

This company is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, contractors, and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other protected characteristic under applicable law. We encourage applicants from all backgrounds to apply.


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