Member of Technical Staff, Platform Engineer (New Stealth Startup)

About this role

About Us Red Cell Partners is an incubation firm building and investing in rapidly scalable technology-led companies that are bringing revolutionary advancements to market in three distinct practice areas: healthcare, cyber, and national security. United by a shared sense of duty and deep belief in the power of innovation, Red Cell is developing powerful tools and solutions to address our Nation’s most pressing problems.

About Stealth Startup We're launching a new startup that is redefining how mission-critical organizations adopt AI. Our platform helps organizations across healthcare, government, and other regulated industries transform institutional knowledge into intelligence assets that improve the accuracy, reliability, and impact of AI in real-world workflows. We're a fast-moving team of builders, researchers, and operators working to help customers create, measure, and continuously improve AI capabilities they can own and control.

About the Role We are seeking a Member of Technical Staff, Platform Engineer (Full Stack) to productionize AI research and build the scalable systems required to support model training, evaluation, and data collection. This is a remote, United States-based role for an experienced engineer who can work across the full technology stack while bringing particular strength in backend systems, platform architecture, and infrastructure.

You will architect and scale our reinforcement learning environments platform, build the systems that power data collection at scale, and establish the engineering foundations needed to move research into reliable production systems. Responsibilities Architect and scale our reinforcement learning environments platform and the underlying infrastructure required to support data collection at scale. Build and operate scalable backend services, APIs, and data-generation pipelines.

Develop modular environment domains that integrate directly with model training and evaluation workflows. Translate research requirements and prototypes into reliable, production-quality systems. Build intuitive full-stack tools and interfaces that support research, engineering, and operational workflows. Design resilient systems with a strong focus on reliability, observability, performance, maintainability, and security.