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Founding Engineer—Build AI-Native Ops for Mental Health

Salary

$0.12k - $0.18k

Min Experience

3 years

Location

San Francisco, CA, US

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

🧠 BUILD AI-NATIVE CARE INFRASTRUCTURE. SHIP FOR REAL PATIENTS. OPERATE AT SPEED. ℹ️ TL;DR We're building the AI-native operations layer for psychiatric care. Not diagnostics, but what happens outside the visit—the real operational backend: scheduling, documentation, billing, intake, risk detection, and more. If you want to build core infrastructure with real AI, own systems end-to-end, and work directly with a deeply technical founder still up to his neck in the code—read on. 🗺️ CONTEXT Hey—I'm Daniel, co-founder and CTO of Legion Health (YC S21). Mental health care is operationally broken—patients ghosted, clinicians buried in forms, payers chasing missing notes. The industry is flooded with AI startups trying to automate away diagnosis—and even providers as a whole. But diagnostics aren't the bottleneck. Operations are. So, we're solving the real problem: "What if operations worked?" We're building a real-time, AI-powered backend for mental health clinics—LLM agents + structured systems that coordinate human care like it's software. Think: Automated intake that personalizes itself mid-call AI copilots that document visits while verifying insurance Risk detectors trained on full transcripts and events Schedulers that close the loop without human friction And we're already live. Our agent infrastructure supports over 2,000+ patients — with only one support human. Unlike most AI startups, we are our own customer. We operate our own large psychiatric practice. The systems you build directly impact our clinicians and patients today. No theoretical B2B pitches, begging for pilots, and months of stakeholder alignment and bureaucracy—just real-world, high-stakes operational challenges. ⭐ If you've felt like AI is being wasted on toy tools or B2B busywork—come work on something real. 🏆 WHAT WE'VE ALREADY BUILT $1M+ ARR, growing fast—post-PMF, pre-scale $6M raised, $3M in the bank A live agentic co-pilot (think "Cursor for care ops") that actually reduces admin overhead A functioning psychiatric practice with real clinicians, patients, and claims A high-leverage AI architecture in motion—LLM tool use, RAG, event-driven infra A clear path towards for an event-driven, simulation-capable architecture that self-improves A small, intense team (~11 people) shipping daily—no dead weight This is the moment where foundational hires make the company. You're not joining an idea-stage pipe dream or a late-stage dinosaur. You're helping us define the future. 👷🏻‍♂️ WHAT YOU'LL BUILD AND OWN This isn't a feature factory. We move fast, shipping multiple meaningful features straight to real patients and providers every single day. You'll own entire domains end-to-end—architecture, implementation, iteration—not just JIRA tickets. This is the frontier of applied AI in healthcare. Core Event-Driven Backend: Architect and scale our Node.js / Next.js / TypeScript / Supabase (Postgres) / AWS stack. Design schemas, event flows, and APIs that power real-time, resilient psychiatric care ops. LLM Agent Infrastructure: Build actual agent loops—tool use, memory, retry logic, context updates, feedback mechanisms. Not a demo. A co-worker. Human + AI Ops UX: Shape real-time interfaces where human teammates and agents co-work, co-learn, and co-adapt. Agents learn by using the same UI our humans do. World-State Simulation: Define the canonical state of a patient's journey. Power alerting, planning, and agent behavior with a simulation of psychiatric care at scale. Data & Compliance: Engineer secure, HIPAA-compliant pipelines for transcripts, events, and EHR data—structured for both operations and AI training. System Design & Strategy: You'll work directly with Danny (CTO) to debate architecture, invent new primitives, and define the foundation for AI-native mental health systems. You'll help answer questions at the frontier of AI, like: What does reliable agent infrastructure look like in production? What's the role of structured data in a world with LLMs? How do we make agents auditable, evolvable, and fast?

About the company

We're rebuilding psychiatry from the ground up—AI-native, insurance-covered, and engineered to scale. Legion Health is a high-quality psychiatry network where patients get care from licensed clinicians, fast and affordably. Under the hood, our LLM agents and orchestration layer automate operations, reduce admin, and enable truly great care. Most startups bolt AI onto broken workflows. We're replacing the workflows—and the system underneath. If you've ever wanted to use AI to actually fix something that matters, this is your shot.

Skills

node.js
typescript
supabase
aws
next.js
tailwind
vercel
openai
anthropic