Founding Engineer | AI-Native Ops Infrastructure

Posted 2 Days Ago
San Francisco, CA
In-Office
130K-180K Annually
Mid level
Healthtech
The Role
The Founding Engineer will develop and maintain the AI-native backend infrastructure for psychiatric care operations, ensuring compliance and performance. Responsibilities include backend ownership, LLM agent integration, and creating human-AI workflows.
Summary Generated by Built In
About Legion Health

Legion Health (YC S21) is building the AI-native operations layer for psychiatric care.

We run our own psychiatric practice and are rebuilding what happens outside the visit—scheduling, intake, documentation, billing, risk detection, and coordination. Not “doctor-in-a-box,” but the operational backend that mental health actually runs on.

Our agent infrastructure already supports 2,000+ patients with one human support lead. The systems you build will land in real clinical workflows immediately.

Role: Founding Engineer – AI-Native Ops Infrastructure (In-Person SF)

Hey—I’m Daniel, co-founder & CTO. I’m hiring a Founding Engineer to own core backend + agent systems end-to-end.

You’ll help design and build the infrastructure that coordinates human clinicians, support staff, and AI agents like a single, coherent system.

Roles evolve quickly here—including mine. I’m looking for someone who wants to grow into owning major parts of the system, not someone depending on me to stay in a narrow CTO role forever.

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 (but not required)
  • 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 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

Interview process
  1. Intro call (20–30 min) with Daniel – background, what you’ve built, what you want.

  2. Systems / portfolio deep dive (45–60 min) – walk through 1–2 systems you’ve shipped; architecture, tradeoffs, failure modes.

  3. Practical work trial (1–2 hours async) – short, realistic backend/LLM-systems exercise. No leetcode, no puzzles.

  4. Final onsite (1–2 hours) – meet the team, pair on a real issue, and talk through how you’d own a domain.
    We aim to go from first conversation to offer in 7–10 days.

Compensation
  • Salary: $130,000–$180,000 (depending on experience)

  • Equity: 0.2%–0.8% meaningful early ownership

  • In-person in San Francisco

Top Skills

Anthropic
AWS
Next.Js
Node.js
Openai
Postgres
Supabase
Tailwind
Typescript
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The Company
HQ: Austin, Texas
25 Employees
Year Founded: 2021

What We Do

Legion Health is a pioneering high-quality telepsychiatry startup dedicated to transforming patient care through advanced technology. We leverage cutting-edge language models and robust data analytics to enhance our patient-provider interactions, improve access to mental health services covered by insurance, and streamline our clinical operations. Our mission is to integrate innovative AI solutions into every facet of world-class psychiatric care, ensuring providers and patients benefit from the most effective and efficient treatment strategies.

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