OpenNash Jobs
Amazon · Hawthorne, CA

AI Builder, Ring

US, CA, Hawthorne

Listed on Amazon’s official careers site. Posted April 3, 2026. Check that it is still open and apply there.

Apply on Amazon’s careers site →

Job description

At Ring we build with AI first, this means that AI is not only a tool but the way we work. Documentation, Design, Code, and day to day tasks utilize AI to provide the quickest most efficient means of software delivery. We are seeking an AI First Software Builder to create services and applications to support the Ring team. You possess extensive experience building software. You should be immersed in AI IDEs and seek to use AI first when documenting, designing, and coding.

After understanding context, a concise prompt should be your first consideration after a discussion around requirements. Coupled with being driven by AI you should have deep code reviewing skills and the ability to identify and correct errors created by either tooling or other developers.

At Ring, you will work in partnership with the Ring Alarm Team, Ring Smart Lighting Team, the Cloud Guild, Product Management, and key leadership.

Key job responsibilities

- Work across the organization to present and delivery high quality solutions quickly

- Write high quality distributed system software for large scale applications, managing high TPS >10000/second

- Work with product management and cross functional teams to provide technical solutions for desired user experiences

- Work with other team members to architect and design approaches

- Prototype new technology and evaluate technical feasibility

- Take ownership of large components

- Drive best practices and engineering excellence

More jobs at Amazon

Similar jobs at other companies

Panel Builder

Genuine Parts · Rochester, NY

Model Builder

Lockheed Martin · Fort Worth, TX

Control Panel Builder I

Genuine Parts · Anaheim, CA

OpenNash lists jobs from employers’ own careers sites and does not handle applications. Dates come from the employer where stated; “first seen” and “last checked” are our own observations.