Lead the technical vision and build the core platform from the ground up for an AI-first startup automating the patient journey. You will transition a founder-led prototype into a scalable, production-grade system while hiring a world-class engineering team. This is a high-ownership, 0-to-1 role directly impacting how millions access critical care.
Founding Tech Lead / CTO at VC-backed healthcare AI startup
Join a well-funded healthcare AI startup as the Founding Tech Lead to architect and build a platform that automates the patient journey, ensuring millions receive critical care in days rather than months. As a key technical leader, you will own the entire 0-to-1 journey of turning a fast-moving AI prototype into a production-grade enterprise system, hiring a world-class engineering team and shaping a mission-driven culture while leveraging cutting-edge agentic AI to solve healthcare's most significant bottlenecks.
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Location
Remote
Compensation
Not Disclosed
Company
Confidential company
Role overview
About the company
VC-backed healthcare AI startup
What you will do
- Architect and build the core engine, including specialist-matching models and secure data layers for enterprise scale.
- Hire and lead the founding engineering team, setting a high bar for technical excellence and a values-driven culture.
- Work hands-on with early customers to ensure the platform solves real-world operational challenges in a compliant manner.
Who this is a fit for
- Elite builder with a track record of going from 0-to-1 and scaling production systems in regulated industries.
- Hands-on expert in AI-first development, fluent in LLMs and agentic tooling like Claude Code or Cursor.
- Natural leader and talent magnet capable of attracting and mentoring A+ engineering talent in a fast-paced environment.
Why this role is remarkable
- Founding-level ownership with the chance to shape the product, culture, and technical architecture from day one.
- Well-funded by top-tier VCs and already partnered with enterprise customers to solve healthcare’s biggest access problems.
- True 0-to-1 challenge building with cutting-edge AI agents and LLMs to automate complex, regulated workflows at scale.
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