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EngineeringOn-site

Staff Engineer, GenAI Tooling & DevEx (R5469)

Shield AI · On-site

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Last seen by MeritLog September 12, 2026Source: LeverSource version: lever-postings-v1

MeritLog read this listing from Shield AI's Lever job board and last checked it on September 12, 2026.

Source: the employer's Lever job board. Open the original listing for current details.

Job details

Work model
On-site
Salary
$150,000 - $220,000
Location
Washington, DC

Hiring context

How this role compares at Shield AI

Shield AI has 472 live roles in MeritLog’s catalog across 12 job families, and 375 of them are in engineering. 369 of those listings publish a pay range, a disclosure rate of 78%.

This role's posted range of $150,000 - $220,000 sits above 42% of the 349 other Shield AI roles quoted over the same currency and period.

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

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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