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Founding Engineer | AI-Native Mental Health Care (backed by Y Combinator, $3.3M+ ARR, $7M+ raised)

Legion Health -
San Francisco, CA

Apply Now

Job Details

Full-time

Benefits

Health insurance
Dental insurance
Vision insurance

Qualifications

AI models
Tailwind CSS
Achieving HIPAA compliance
Startup experience
Workflow management (operations management method)
Amazon ECS
Process design
System design
HIPAA
Public Cloud
AI platforms (beyond public GPTs)
Machine learning projects
Maintaining data pipelines
Event-driven architecture
Health information security
Collaboration with product development teams
UX implementation
PostgreSQL
Decision making
Clinical information systems
Next.js
Systems engineering
Developing and maintaining backend systems
S3
Simulation systems
AI-driven automation
Senior level
TypeScript
AWS Lambda

Full Job Description

About Legion Health

Legion Health (backed by Y Combinator) is 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.

Legion exists 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)

Hey—I’m Daniel Wilson, co-founder & CTO at Legion. I studied applied math + CS at Princeton, then led the Office Scripts + Power Automate integration at Microsoft—shipping the highest retention-driving feature in the product. Before that, I did deep learning + RL research. I’m obsessed with building AI systems that make real workflows cleaner, safer, and more autonomous. Github: https://github.com/danielgwilson

I’m 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

Apply here: https://jobs.ashbyhq.com/legionhealth/ffdd2b52-eb21-489e-b124-3c0804231424
Overview of our hiring process:
- Systems/portfolio deep dive (45 min) – walk through 1–2 systems you’ve shipped; architecture, tradeoffs, failure modes.
- Practical work trial (1.5 hours) – short, realistic backend/LLM-systems exercise. No LeetCode, no puzzles.
- 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

Legion Health 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.

Apply Now

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prompt engineering y combinator jobs

Founding Engineer | AI-Native Mental Health Care (backed by Y Combinator, $3.3M+ ARR, $7M+ raised)

Technical Product Manager, Consumer + AI (backed by Y Combinator, $5M+ ARR, $20M+ raised)

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Software Engineer - AI

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