Mid-Level Full-Stack Engineer—AI-Native Telepsychiatry (Legion Health) [USA] at Legion Health (S21)
$100K - $160K  •  0.03% - 0.30%
World-class, AI-enabled psychiatry covered by insurance
Austin, TX, US / Remote (US)
Full-time
3+ years
About Legion Health

Legion Health is a pioneering telepsychiatry company 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, and streamline our clinical operations.

Our mission is to integrate innovative AI solutions into every facet of psychiatric care, ensuring providers and patients benefit from the most effective and efficient treatment strategies.

About the role
Skills: Next.js, Node.js, React, TypeScript, Machine Learning, Docker, PostgreSQL, Amazon Web Services (AWS)

Legion Health is revolutionizing mental healthcare with LLM-driven telepsychiatry solutions. Our TypeScript stack (Next.js, Node.js, Supabase/PostgreSQL, Docker) empowers us to capture and analyze patient data in real time, drastically improving care outcomes while reducing operational overhead. As a mid-level engineer, you’ll:

  • Implement new features in our patient portal, clinical dashboards, and AI-assisted scheduling workflows.
  • Collaborate with a small, agile team to integrate language models (OpenAI, Anthropic) into day-to-day operations.
  • Ensure HIPAA compliance and data security in a cloud-based environment.
  • Champion best practices in code quality, testing, and DevOps for a rapidly growing platform.

Join us if you want to apply your engineering skills to transform the mental health industry, work with cutting-edge AI, and help patients receive faster, more personalized care.

Technology

Technology at Legion

We are revolutionizing telepsychiatry through a core AI infrastructure that enables a vastly improved patient experience and quality of mental health care. We are actively improving our services in ingesting, chunking, embedding, caching, and searching to achieve this goal. Our technical goals include:

  • Enhanced processing: Implement robust data structures and caching mechanisms to handle increasing volumes of language data spanning every facet of patients’ care while minimizing latency and maximizing system responsiveness.
  • System scalability: Ensure our systems can scale effectively to support growth from one million to hundreds of millions of data points.
  • Securing sensitive data: Uphold the highest standards of data security and privacy in compliance with HIPAA guidelines.

##Stack TypeScript, Node.js, PostgreSQL, Redis, Supabase, Azure, Google Cloud, AWS, LangChain, PostHog, Retool

Interview Process
  1. Short Intro Call (15–20 min)
  2. Take-Home Coding Exercise (2–4 hours)
  3. Technical Deep Dive (30–45 min) – architecture/design session
  4. Final Culture Fit – discussion with co-founders and possibly a technical advisor
  5. Reference Checks

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