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Senior Generative AI Application Engineer, Learning & Development (R5856)

Shield AI· Hivemind Solutions Division – Applications Engineering
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Hybrid (San Diego, CA; Dallas, TX; Washington, D.C.)$160k - $250kFull Time EmployeePosted 1mo ago

About the role

Senior hands-on AI engineer responsible for building AI-powered training, content systems, and measurement capabilities to accelerate engineers’ learning of Hivemind, combining production AI engineering, developer experience, and technical education.

Responsibilities

  • Develop an AI-powered training coach that helps people learn Hivemind concepts, products, and development workflows.
  • Create highly technical Hivemind training materials and hands-on workshops for engineers and other technical learners.
  • Build prompt-based tooling that generates workshops and supporting learning content from defined objectives, audiences, and source materials.
  • Create LLM-based tooling that automates the ongoing upgrade and improvement of Hivemind training and educational materials.
  • Build AI tools and systems that enable, streamline, and automate Hivemind Learning & Development workflows.

Qualifications

  • Progressive experience building production software, AI-enabled products, developer tools, technical learning platforms, or comparable systems.
  • Hands-on experience integrating large language models, generative AI APIs, retrieval-augmented generation, agents, prompt workflows, or AI-assisted automation into production or enterprise environments.
  • Strong software engineering fundamentals, including API design, testing, observability, documentation, secure coding, maintainable architecture, and operational ownership.
  • Professional proficiency in Python and the ability to read, debug, and create credible examples in modern C++.
  • Experience translating complex software or systems concepts into clear technical documentation, hands-on labs, workshops, developer education, or enablement material.
  • Ability to learn a sophisticated technical product quickly, work directly with subject-matter experts, and convert ambiguous needs into practical, testable learning solutions.
  • Experience evaluating AI system quality using automated tests, structured human review, telemetry, or task-based performance measures.
  • Clear written and verbal communication skills, sound technical judgment, and a collaborative style suited to engineers, instructors, customers, and cross-functional partners.

Skills

Required:PythonC++Large language models / Generative AIEducation / Instructional designSoftware design & DevOps basics

Benefits

  • Pay within range listed + Bonus + Benefits + Equity
  • Salary compensation is influenced by a wide array of factors including skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits.
Last updated Oct 23, 2026. Interested? Apply on the company site.

About Shield AI

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Our mission is to protect service members and civilians with intelligent systems.

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