🛠 Tech Stack

💼 About This Role

You'll build the AI intelligence platform that powers clinical AI for millions of patient encounters. Your work on evaluation and release infrastructure will let teams ship confidently and iterate on quality in days, not weeks.

🎯 What You'll Do

• Build eval and release infrastructure for automated grading and release gates.
• Develop debug tooling with encounter replay and diff views.
• Design chart context retrieval and data pipelines for model-ready inputs.
• Create preference infrastructure for clinician-specific customization at scale.

📋 Requirements

• 7+ years in software engineering, 3+ focused on ML infrastructure or platform engineering.
• Staff-level scope: owned cross-cutting infrastructure and influenced technical direction across teams.
• Strong backend fundamentals in Python, TypeScript, or similar.
• Built eval systems, data pipelines, or ML observability infrastructure.

✨ Nice to Have

• Comfortable on both the ML and Eng sides of MLOps.
• Track record of platform work that measurably accelerated other teams.

🎁 Benefits & Perks

• 🏖️ Unlimited PTO and remote-friendly culture.
• 🏥 Comprehensive medical, dental, and vision coverage for you and dependents.
• 💰 401(k) with company match up to 3% of base salary.
• 📈 Meaningful equity grants to share in company impact.
• 🧘 High-ownership, high-trust environment with direct access to leadership.