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 area—from architecture and model selection to evals and agent design.Key ResponsibilitiesEnd-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 HavesTypeScript 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 yearsof full-time professional experience (excluding internships).Communication:Ability to articulate complex technical ideas clearly and participate in healthy, ego-free feedback loops.Preferred QualificationsModern 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 ValuesOpen 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