LandOffer
Senior Generative AI Application Engineer, Learning & Development (R5856)
Job details
- Work mode
- On-site
- Employment
- Full-time
- Level
- Senior
- Posted
- Sep 15, 2026
- Last confirmed open
- Oct 21, 2026
What you'll need to apply
Fields this application requires
Company-specific questions
- Shield AI provides technology, services, and support to the United States military and allied forces with their various missions. If selected for employment with Shield AI, your contributions will directly relate to and/or support these missions. Are there any reasons why you would not be able to fully contribute in support of the U.S. military and allied forces?
- Please state your full legal name:
- Are you a transitioning service member?
- What full time job(s) are you applying for?essay
About this role
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.