Senior AI Engineer - Rocket Doctor

ABOUT ROCKET DOCTOR

Rocket Doctor is a digital health platform and marketplace that is breaking down obstacles that limit access to quality, comprehensive and cost-effective healthcare. Our proprietary software equips doctors with the tools to run successful independent practices in virtual and hybridized in-person models of care, enabling them to provide tailored support to patients in rural and remote communities across Canada and on Medicaid and Medicare across the United States.

Leveraging large language models, AI/ML and wireless medical devices, Rocket Doctor is bridging the healthcare divide, connecting patients to equitable and accessible healthcare regardless of age, location, or financial status.

We believe that every person deserves equal access to quality healthcare and are looking for team members who are motivated to learn, grow, and innovate, while making a meaningful difference. Since launch, we have enabled more than 400 MDs to provide care to more than 700,000 patient visits across North America.

We recently joined the team at Rocket Doctor AI (formerly Treatment.com AI), becoming a publicly-traded company in Spring of 2025, and are rapidly expanding across all avenues.

This is your chance to get in early with our rapidly growing company so that together we can bring high quality care with advanced technology to millions of patients around the World!

ABOUT THE ROLE

We are seeking a high-octane Senior AI Engineer to redefine our development velocity and product capabilities. You won’t just be writing code; you will be building the "engine that builds the engine."

Your mission is threefold:

• AI Dev-Acceleration: Architecting AI agents to automate the "boring stuff"—code reviews, test generation, and CI/CD bottlenecks.
• Product Innovation: Engineering complex, AI-driven workflows within our Patient and Provider portals.
• Infrastructure as Code: Ensuring our GCP environment and AI pipelines are scalable, reproducible, and fully automated.

Key Responsibilities

• AI Orchestration: Design and deploy autonomous agents to automate dev processes (e.g., automated PR summaries, synthetic test data generation, and self-healing test suites).
• Workflow Automation: Build and maintain complex product workflows leveraging LLMs and RAG (Retrieval-Augmented Generation) to enhance user experiences.
• Infrastructure as Code (IaC): Own the cloud architecture using Terraform or Pulumi to ensure GCP resources (Vertex AI, Cloud Run, Cloud SQL) are version-controlled and reproducible.
• Backend: Node.js, Express, and TypeORM (PostgreSQL).
• Frontend: React (v17 & v18) using modern state management and routing (Zustand, TanStack).
• DevOps Mastery: Implement robust CI/CD pipelines (GitHub Actions/Google Cloud Build) that handle both application code and AI model ve