Drimva

Shield AI

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

$160K–$250K

San Diego, California +2 · On-site · Senior · Full-time · Posted Sep 15, 2026

Location
San Diego, California
Dallas, Texas
Washington, D.C.
Experience
Progressive experience; no specific number of years stated.
Education
Bachelor's degree in a related field, or equivalent practical experience (preferred).

About the job

Build production AI learning products and technical training systems that help engineers learn and use Hivemind effectively.

What you'll do

  • Develop an AI training coach and tools that create, update, and improve Hivemind learning content.
  • Create technical training materials, hands-on workshops, labs, and assessments with autonomy experts.
  • Build AI systems that streamline Learning & Development workflows and measure training quality and impact.

What they ask for

  • Progressive experience building production software, AI-enabled products, developer tools, technical learning platforms, or comparable systems.
  • Hands-on experience integrating LLMs, generative AI APIs, RAG, agents, prompt workflows, or AI automation into production or enterprise environments.
  • Strong software engineering fundamentals; professional proficiency in Python and ability to read, debug, and create credible examples in modern C++.
  • Experience translating complex technical concepts into learning materials and evaluating AI system quality.

Nice to have

  • Experience in autonomy, robotics, aerospace, defense, simulation, distributed systems, or safety-critical software.
  • Experience in developer education, instructional design, learning science, intelligent tutoring, or technical assessment design.

Pay

USD 160,000–250,000 (per-year-salary); base salary

Tools

Python, C++, large language models, generative AI APIs, retrieval-augmented generation

AI focus

Build an AI training coach, generate and update technical learning content, automate learning workflows, and evaluate AI system quality.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)