Member of Technical Staff, Forward Deployed Engineer (New Stealth Startup)

The posting, as Red Cell Partners wrote it

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, Forward Deployed Engineer to work directly with enterprise customers, develop a deep understanding of their businesses and workflows, and translate their operational needs into production-grade AI solutions.

This is a remote, United States-based role that combines software engineering, AI development, solution design, and customer engagement. You will work within customer environments as part of a small deployment team, owning the full technical lifecycle from defining the problem and building data pipelines to designing evaluations, deploying AI agents, and iterating against measurable goals. Travel to customer locations will be required as needed.

Responsibilities

• Work directly with enterprise customer teams to understand their businesses, operating environments, and workflows.
• Translate real operational needs into clearly defined, AI-driven solutions.
• Own the end-to-end design, development, deployment, and improvement of production-grade AI agents tailored to customer-specific problems.
• Build the data pipelines, integrations, and supporting systems required to deploy AI solutions within customer environments.
• Develop evaluation systems that measure agent performance and use the results to drive continued improvement.
• Translate complex business requirements into technical architectures, implementation plans, and measurable outcomes.
• Develop deep expertise in customer domains and apply that knowledge to improve the relevance and performance of the AI systems you build.
• Partner closely with Product, Platform, Research, and Engineering teams to deliver reliable, cohesive solutions.
• Identify and codify reusable engineering practices, agent patterns, and technical frameworks that can support future deployments.
• Translate lessons from customer deployments into actionable feedback for platform and product teams.
• Diagnose technical and operational challenges in customer environments and drive issues through resolutio

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identity, national origin, protected veteran status, or on the basis of disability.

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