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29 d agofound 4 d ago
Senior Generative AI Application Engineer, Learning & Development (R5856)
Posted by Shield AI on 15 September 2026, 29 days ago. Still on their Lever board when we checked 19 min ago. Half of Shield AI's roles come down within 44 days.
What the posting is about
Develop AI-powered learning tools for Hivemind. Collaborate with autonomy experts to create technical curricula. Improve customer capability and product adoption through effective training.
Read out of the posting
Levelsenior
Experience asked5+ years
EmploymentFull time
LocationSan Diego, California
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-09-15
Found vialever, direct from their system
We saw it 25 days after it went up.
The posting, as the company wrote it
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:
The Senior AI Engineer, Hivemind Learning & Development is a hands-on individual contributor who will build the AI-powered products, content systems, and measurement capabilities that help engineers learn Hivemind faster and apply it successfully. Embedded within the Hivemind Learning & Development team, this role combines production AI engineering, developer experience, and technical education.
You will own an AI training coach that provides grounded, context-aware guidance; create tooling that turns learning objectives and product changes into high-quality workshops; and partner with autonomy experts to produce deeply technical curricula, labs, and assessments. The role works closely with Applications Engineering, Hivemind engineering and Customer Success.
Success is defined by trusted learning products that ship, shorter time to technical proficiency, faster and more consistent workshop development, content that stays current with Hivemind releases, and clear evidence that training improves customer capability and product adoption.
Copied from Shield AI’s own board, not rewritten. Original ↗
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