Senior Engineer, AI Engineering (R5856)

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems.

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.

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.

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 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.

Preferred Qualifications

• 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 a related field, or equivalent practical experience.