Why this role stands out
As a Founding Engineer at Ghost, you'll be at the forefront of applied AI, shaping the future of personal agents and tackling complex challenges with a highly talented team. If you're a driven engineer with a passion for cutting-edge technology and a desire to make a significant impact, this is an incredible opportunity to grow your career. Apply now to be part of this exciting, well-funded venture!
Quick overview
Job description
About Ghost
Ghost is a personal AI hardware company.
To realize the full benefit of what models will do for people, we believe an entirely new platform will be built around AI. Some devices will let your AI understand what is happening around you, others will enable you to get things done without navigating apps or menus.
As these systems become more capable and more personal, it matters who owns them. We’re building a future where that intelligence belongs to you, with an ecosystem of devices and software that gives you greater control over your time, attention, and the things you want to accomplish.
What you'll do
Build Core’s interfaces and capabilities across desktop, mobile, and connected devices.
Develop real-time interaction systems that bring together user input, model responses, and agent execution.
Build features for delegating tasks, managing ongoing work, and reviewing actions that need approval.
Build connections for Core across apps and devices, giving agents access to the context and tools they need to act.
Work across client applications, backend services, and on-device software to ship complete features.
Solve latency, reliability, and synchronization challenges to make Core responsive and dependable in everyday use.
Who you are
Experience building and shipping substantial features across client and backend systems.
Strong software engineering fundamentals, with the ability to work across unfamiliar parts of a stack.
Experience with asynchronous systems, streaming, real-time communication, or device integrations.
Comfortable integrating models and tools into working applications and debugging their behavior end to end.
Care about implementation details, performance, and building software that works reliably beyond a demo.
Ability to work on-site in San Francisco.
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