Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.

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, platform contracts, and deployment, 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:

Build and operate a full-stack platform embedded in the workflows used to train, validate, and deploy the AI Pilot.

Design a composable UI architecture that lets applications contribute widgets, dashboards, commands, 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 remote-cluster 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.

Key outcomes:

A successful engineer in this role will help deliver the following outcomes:

Applications behave consistently across local-development and remote-cluster environments, even when their deployment and service lifecycles differ.

Application developers can move quickly using clear contracts, examples, documentation, and authoring guides.

Hivemind teams can develop, integrate, test, and diagnose autonomy capabilities more quickly using Forge applications and platform services.

Users can combine applications, tools, and shared context into persistent workflows tailored to their needs and share those workflows within their organization.

Internal teams and external customers can build integrated Forge applications that extend these workflows without modifying the core platform.

Forge’s embedded AI and external agent harnesses can explore and operate the same catalog of platform tools through shared contracts.

Required qualifications:

Experience owning production full-stack applications from design and implementation through rollout and support.

Strong proficiency with TypeScript and React or an equivalent modern web stack.

Experience building production backend services in Go, Python, Rust, or a comparable language.

Experience designing typed, versioned APIs and contracts between independently deployed components.

Strong knowledge of web and distributed-system architecture, including state management, routing, asynchronous communication, browser security, authentication, authorization, and failure handling.

Ability to build intuitive technical tools for engineers and test them at the unit, integration, and system levels.

Sound judgment about when to extend an existing system, introduce an abstraction, or keep a solution intentionally small.

Clear communication skills and the ability to work across frontend, backend, infrastructure, and product disciplines.

Preferred qualifications: