About this Senior Software Engineer, Frontend Platform (R5790) role at Shieldai
About Shield AI:
Shield AI is a defense technology company with the mission of protecting service members and civilians with intelligent systems. We build autonomy systems for air, maritime, space, and other platforms operating in complex and contested environments.
Forge is the engineering platform used to build, integrate, test, and operate Hivemind capabilities. It connects autonomy developers with the applications, services, compute, data, and workflows they need to move from local development to deployed systems.
Job Description:
We are looking for a full-stack engineer interested in customer-facing products, developer tools, and AI-assisted workflows. You will partner with internal subject-matter experts to build an extensible application platform and complete applications on it.
Shield AI’s Hivemind developers are the platform’s primary design partners and proving ground. Forge is also designed for external engineering teams to adopt, extend, and integrate into their own environments.
You will help evolve Forge into an integrated engineering environment with shared foundations for APIs, user interfaces, extensions, model integrations, and agent tools. Working across frontend architecture, backend services, and model integrations, you will validate the platform through real workflows. Your work will help engineers understand complex systems, develop autonomy software, investigate failures, and deliver reliable capabilities faster.
What you'll do:
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Build and operate a front-end focused development platform embedded in the workflows used to train, validate, and deploy the AI Pilot.
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Design a composable UI architecture that lets applications contribute apps, dashboards, commands, widgets, and shared resource context.
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Define typed, versioned contracts between the platform and independently developed Forge applications.
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Create workflows for teams to package, publish, configure, install, upgrade, and disable applications.
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Enable Forge’s native AI experiences and external agent harnesses to understand active context, invoke authorized tools, navigate applications, and compose dashboards.
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Deliver consistent application behavior across local-development and AI Factory environments.
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Partner with simulation, autonomy, and ML subject-matter experts to build initial applications, validate the platform against real workflows, and incorporate what you learn.
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Work across infrastructure, security, product, and design to shape the platform’s architecture and engineering practices.
Key outcomes:
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Build and operate a front-end focused development platform embedded in the workflows used to train, validate, and deploy the AI Pilot.
-
Design a composable UI architecture that lets applications contribute apps, dashboards, commands, widgets, and shared resource context.
-
Define typed, versioned contracts between the platform and independently developed Forge applications.
-
Create workflows for teams to package, publish, configure, install, upgrade, and disable applications.
-
Enable Forge’s native AI experiences and external agent harnesses to understand active context, invoke authorized tools, navigate applications, and compose dashboards.
-
Deliver consistent application behavior across local-development and AI Factory environments.
-
Partner with simulation, autonomy, and ML subject-matter experts to build initial applications, validate the platform against real workflows, and incorporate what you learn.
-
Work across infrastructure, security, product, and design to shape the platform’s architecture and engineering practices.
Required qualifications:
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Experience owning production full-stack applications from design and implementation through rollout and support.
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Strong proficiency with TypeScript and React or an equivalent modern web stack.
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Experience building production backend services in Go, Python, Rust, or a comparable language.
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Experience designing typed, versioned APIs and contracts between independently deployed components.
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Strong knowledge of web and distributed-system architecture, including state management, routing, asynchronous communication, browser security, authentication, authorization, and failure handling.
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Experience building real-time and high-performance applications (WebGL, WebGPU)
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Sound judgment about when to extend an existing system, introduce an abstraction, or keep a solution intentionally small.
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Clear communication skills and the ability to work across frontend, backend, infrastructure, and product disciplines.
Preferred qualifications:
Experience in every area below is not expected. Relevant experience may include:
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Extensible application platforms, including plugin systems, micro-frontends, web sandboxing, Web Components, or VS Code extensions.
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Agent-tool integrations and protocols such as Model Context Protocol.
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API gateways, reverse proxies, service catalogs, or policy-driven routing.
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Schema-driven API development using OpenAPI, JSON Schema, Protocol Buffers, gRPC, or generated clients.
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Kubernetes and ingress/gateways
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Composable user experiences such as dashboard builders, configurable layouts, data visualization, or collaborative application state.
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Robotics, autonomy, simulation, aerospace, or other domains where software interacts with real-world systems.
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