Hiring: Senior Engineer, AI Engineering (R5856) Company: Shield AI Location: San Diego, TX Job Posted Time: 2026-09-16 10:33:13 Employment Type: Full-time Target Skills & Keywords : AI, API Design, C++, Embedded Systems, LLM, Python About the job Required Skills: •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. •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++. •Demonstrated capacity to learn a sophisticated technical product quickly, work directly with subject-matter experts, and convert ambiguous needs into practical, testable learning solutions. •Clear written and verbal communication skills, sound technical judgment, and a collaborative style suited to engineers, instructors, customers, and cross-functional partners. •Operational familiarity with AI evaluation and observability, prompt and agent testing, vector databases, enterprise search, model gateways, and deployment in restricted or disconnected environments. •Bachelor's degree in Computer Science, Engineering, Robotics, Data Science, Learning Technology, or a related field, or equivalent practical experience. Compensation: •$160,000 - $250,000 / year •Pay within range listed + Bonus + Benefits + Equity Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!