🚀 Legion Health | AI-Driven Psychiatric Care – We’re Hiring!

Join us in building the most efficient, AI-powered mental healthcare system.

We’re a YC-backed company revolutionizing telepsychiatry—not with AI for diagnostics, but with AI-driven operations that actually make patient care faster, smoother, and more accessible.

We’re hiring top-tier engineers who thrive in high-velocity, AI-first environments and want to build technology that meaningfully improves lives. If you love shipping fast, working with AI, and solving hard problems, keep reading. 👇

Why This Role?

• You’ll work on practical AI deployment—optimizing LLM-powered workflows for real-world mental healthcare.
• You’ll refine AI models that improve scheduling, risk assessment, and revenue cycle automation.
• You’ll optimize feedback loops to improve LLM-driven decisions over time.
• You’ll shape a real-world reinforcement learning approach that trains AI on provider feedback.
  
  

What You’ll Work On

• Optimizing LLM workflows (fine-tuning models, prompt engineering, integrating feedback loops).
• Improving AI explainability—building systems that show providers why AI makes certain recommendations.
• Implementing retrieval-augmented generation (RAG) for more accurate, context-aware AI responses.
• Building tooling to measure AI override rates, decision accuracy, and improvement metrics.
• Working closely with clinicians to ensure AI improves their efficiency—not replaces them.
  
  

What We’re Looking For

• 3+ years experience in AI/ML engineering.
• Strong Python & ML background (LLMs, NLP, PyTorch/TensorFlow).
• Experience with reinforcement learning (or curiosity to implement RL-based workflows).
• Comfortable with production AI deployment (vector databases, API integrations, etc.).
• Interest in AI for healthcare (compliance/security mindset preferred).
  
  

What We Offer

• $130-180K salary + 0.4-1.2% equity.
• Real AI autonomy—you won’t just be fine-tuning prompts, you’ll be shaping LLM-driven patient care workflows.
• Work at the bleeding edge of AI deployment in healthcare.
• A mission with impact—we’re solving real problems that affect millions of patients.