Engineer

About Aidoc

Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year.
Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions.

Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need.

About this role

We’re seeking an exceptional Principal Engineer to shape the technical direction and long-term architecture of Aidoc’s AI-first development tools.

You’ll report to the company’s co-founder and Chief Architect, and drive meaningful change to the whole R&D department, setting standards of how engineering is done well and productively in Aidoc.

In this role, you’ll lead complex, cross-organization initiatives and drive architectural strategy across multiple teams, while staying close to the code and ensuring decisions are grounded in real-world implementation.

You’ll work directly with R&D leadership and all R&D teams to define and build the tools which will make Aidoc’s R&D organization 10x faster and better thanks to the new AI capabilities of the world. 

We will work in “startup mode” - close to our users, delivering value in quick iterations, while keeping very high engineering standards. 

Responsibilities

• Define and drive long-term strategy for AI-first dev tools in collaboration with engineering leadership.
• Define, develop, and integrate tools based on the latest AI technologies for the benefit of Aidoc’s R&D department. 
• Lead company-wide technical initiatives, ensuring alignment across multiple teams.
• Lead and formalize engineering best practices around performance, reliability, and observability.
• Evaluate emerging technologies and identify opportunities to improve scalability, developer productivity, and overall system robustness.

Requirements

• 15+ years of professional experience building software systems in Development. 
• Proven track record in technical leadership roles, delivering complex cross-functional projects.
• Deep understanding of architecture, scalability, and operations of an engineering organization delivering enterprise software.
• Experience with cloud infrastructure (AWS or equivalent), and modern DevOps practices.