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Shield AI is a venture-backed defense-tech company developing intelligent systems to protect service members and civilians. The company's products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies, with operations across the U.S., Europe, the Middle East, and Asia-Pacific.
In this role, you will develop an AI-powered training coach that helps engineers and technical learners understand Hivemind concepts, products, and development workflows. You'll create highly technical training materials and hands-on workshops, build prompt-based tooling that generates workshops and learning content from defined objectives and source materials, and develop LLM-based systems that automate the upgrade and improvement of training materials. You'll also build AI tools and systems that enable, streamline, and automate Hivemind Learning & Development workflows.
The role is critical because Hivemind's value depends on how quickly technical teams can build sound mental models, complete real workflows, and apply the software with confidence. You will create learning systems that make expert knowledge available at the moment of need, reduce delays between product changes and customer readiness, and help the L&D team scale quality without losing technical rigor.
REQUIREMENTS:
- 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 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 sophisticated technical products quickly, work 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 collaborative style suited to engineers, instructors, customers, and cross-functional partners
PREFERRED:
- Experience with autonomy, robotics, aerospace, defense, simulation, distributed systems, or safety-critical software
- Experience with developer education, instructional design, learning science, intelligent tutoring systems, or assessment design for highly technical audiences
- Familiarity with AI evaluation and observability, prompt and agent testing, vector databases, enterprise search, model gateways, and deployment in restricted or disconnected environments
- Experience designing and facilitating hands-on technical workshops for customer engineers, including troubleshooting live technical environments
- Bachelor's degree in Computer Science, Engineering, Robotics, Data Science, Learning Technology, or related field, or equivalent practical experience
