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Staff Engineer, GenAI Tooling & DevEx (R5469)

Shield AI

Washington, D.C.

Applied AI

USD 150,000 - 220,000

Posted 2 months ago

staffremote

Verified open on Oct 4, 2026 · posted 65 days ago

Job Description

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. 

Job Description:

As a GenAI Tooling & Developer Experience Engineer on the HMS DevOps Team, you will design, develop, and maintain the GenAI tooling that accelerates the development velocity of your fellow software engineers. You will collaborate with robotics and autonomy software engineers to understand their workflows, remove friction, and enable effective GenAI-assisted development in both commercial and government environments while meeting requirements for secure, controlled data. 

You will build the automation, infrastructure, and integration layers that make GenAI useful across the software engineering organization. You will streamline processes across GitLab, Jira, and Confluence so colleagues spend less time coordinating work and more time creating software. You will apply your expertise in C++, Python, build systems, and developer tooling to provide more power and context to our developers and GenAI tools. 

This is a high-leverage role where your impact scales through the work of others: every improvement you make to GenAI tooling, automation, and developer workflows will help engineers across HMS move faster, work more securely, and spend more time solving the hardest robotics and autonomy problems. 

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This role is classified as Applied AI.

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$195k - $255k is the middle 50% of disclosed salaries, measured from 425 live Applied AI postings on this board. Roughly two thirds of postings disclose nothing, so this describes the ones that do, not the whole market.

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