The Role We are looking for a Founding AI Engineer to take the lead on our intelligence layer. This isn''t a role for running six-month research projects; you will be shipping production-ready LLM features into the hands of clinicians from day one. You will own the entire AI surface areafrom architecture and model selection to evals and agent design. Key Responsibilities End-to-End AI Ownership: Own the AI lifecycle including architecture, model selection, evals, and agent design. Production-First Mindset: Rapidly improve existing LLM features and ship new ones directly into clinical workflows. Full-Stack Implementation: Work across the stack (TypeScript, React Native, NestJS) to ensure AI features are seamlessly integrated into the UI clinicians actually use. Solve Unsolved Problems: Address genuine healthcare challenges like AI accuracy, context-awareness, and latency under real clinical constraints. Strategic Partnership: Partner with founders to define the AI roadmap and establish high engineering standards. Responsibility & Output: Maintain a high quality bar, ensuring all AI-generated or assisted code is fully understood and owned. Who We Are Looking For Must Haves TypeScript Expertise: Deep proficiency in the language that powers our entire stack. AI Production Experience: Proven experience shipping LLM/AI features in a production environment. Experience: At least 3 years of full-time professional experience (excluding internships). Communication: Ability to articulate complex technical ideas clearly and participate in healthy, ego-free feedback loops. Preferred Qualifications Modern Stack Proficiency: Experience with React Native/Expo, Next.js, NestJS, and PostgreSQL. 0-1 Builder: A track record of taking products from concept through production in a startup environment. DevOps/CI/CD: Proficiency with containers and cloud deployments (GCP is a plus). Mission Alignment: A genuine interest in healthcare/clinical workflows and improving patient outcomes. Our Core Values Open to Feedback: We view code reviews and suggestions as a way to make the product better, not as personal attacks. Constructive Disagreement: We encourage speaking up if you see a better path forward; we choose the best solution for the product together. Ownership of Output: We have zero tolerance for ''AI slop.'' Whether you wrote it or an AI generated it, once you commit it, you own it. You must fully understand why you are committing a piece of code. No Ego: We value humble, down-to-earth collaborators who are hyper-reactive to the needs of the product, not their own status. #J-18808-Ljbffr
Job Title
AI Founding Engineer