Teams at Neko Health

Owns the operational lifecycle of LLM, GenAI, and RAG systems, including deployment, monitoring, evaluation, observability, versioning, cost optimization, and production reliability. The role builds ML platform capabilities for regulated clinical workflows, ships agentic or RAG pipelines, establishes human-feedback evaluation loops, and partners closely with the existing MLOps team.

Build and ship member-facing features for Neko’s iOS, Android, and web applications using React Native and native Swift or Kotlin. Own app experiences involving health data, wearables, notifications, clinic screens, biometrics, deep links, background processing, and release operations. Maintain high standards for performance, crash-free reliability, motion, and usability while collaborating with product, design, and engineering teams and using AI coding tools.

Lead a four-to-six-person engineering pod building Neko’s consumer app across iOS, Android, and web, plus wearables, notifications, and clinic screens. Ship the engagement roadmap, set technical direction, own app quality and release performance, improve retention and engagement, and mentor and hire engineers. The role requires hands-on development across React Native, native mobile, web, and backend systems, along with daily use of AI coding tools.