SuperDial Benefits Overview

Build and scale backend systems for production LLM applications in healthcare. Responsibilities include architecting APIs, services, data and RAG pipelines, LLMOps observability, performance optimization, cloud infrastructure, security, HIPAA-ready compliance, and auditability. The role partners with product, ML, and healthcare teams while leading delivery, establishing engineering practices, and mentoring engineers. Candidates need strong Python and backend engineering skills, distributed systems expertise, cloud-native experience, and at least three years working with ML or LLM applications.

The Senior Full Stack Engineer will develop back-end systems in Python and create front-end applications using JavaScript/TypeScript and React. Responsibilities include owning product features, designing APIs, and optimizing performance within an AI healthcare platform.

Design, build, operate, and maintain backend services and scalable APIs for AI-powered healthcare workflows on GCP. Own well-scoped projects from design through delivery, debug production issues, collaborate cross-functionally, and build with HIPAA awareness and strong testing, observability, and security practices.