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. Embedded within the Hivemind Learning & Development team, this role combines production AI engineering, developer experience, and technical education.
You will own an AI training coach that provides grounded, context-aware guidance; create tooling that turns learning objectives and product changes into high-quality workshops; and partner with autonomy experts to produce deeply technical curricula, labs, and assessments. The role works closely with Applications Engineering, Hivemind engineering and Customer Success.
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.
What you'll do:
- 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.
Required 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.
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.
Why this role matters:
Skills Required
- 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 technical documentation, hands-on labs, workshops, developer education, or enablement material.
- Ability to learn sophisticated technical products quickly, collaborate 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.
- 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.
What the Team is Saying
Shield AI Compensation & Benefits Highlights
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Healthcare Strength — Healthcare coverage is described as excellent, with dental/vision and mental‑health support, and ancillary protections like life and disability appearing in benefit summaries. The breadth and perceived affordability of coverage are highlighted as a standout component of the package.
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Parental & Family Support — Paid parental leave is featured alongside enhanced maternity benefits, fertility and childcare support, and onsite resources such as a Mother’s Room. These elements are positioned as competitive and above the minimal baseline for the company’s stage.
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Equity Value & Accessibility — Equity is granted to all full‑time hires, with RSUs, double‑trigger tax timing, and tools to model scenarios (e.g., through Carta Tax). Communications also reference a transition from options to RSUs, reinforcing access and maturity of ownership programs.
Shield AI Insights
What We Do
At Shield AI, you won't wait years to see your work reach the field. You'll build hardware and software that operates in the real world right now, in the hands of the people who depend on it. Hivemind, our AI pilot, has been flying since 2018. It has flown more than 30 platforms, including an F-16, and it now sits under a U.S. Air Force production contract for Collaborative Combat Aircraft. When you write code or shape a system here, you contribute to technology with a proven flight record and a clear production future. V-BAT flies intelligence, surveillance, and reconnaissance missions with an operational record that stretches from Ukraine to the Indo-Pacific. It delivers eyes where they matter most, in the most demanding conditions on earth. The teams behind it watch their work get tested where the stakes are real. X-BAT takes its first flight this year. It's an AI-piloted fighter that needs no runway, built to operate where traditional aircraft can't. Join now and you help shape a program at its earliest, most formative stage. That's the kind of ground-floor work that defines a career. Do the most impactful work of your life, on problems that matter. Autonomy at this level asks a lot of you. You'll take on problems in perception, planning, and control that few teams anywhere are equipped to solve. You'll work across disciplines, from aerospace and robotics to machine learning and systems engineering, alongside people who hold themselves to an exacting standard and expect the same from you. Our mission is clear: protect service members and civilians with intelligent systems. That purpose runs through every decision, every design review, and every deployment. It's why the work here carries a weight you can feel. Ready to join our mission? Explore our open roles and find where you fit.
Why Work With Us
Founded in 2015 by a former Navy SEAL, Shield AI builds AI pilots and uncrewed aircraft. Veterans aren't an afterthought here, they're at every level. It's why the work carries weight: AI pilots and uncrewed aircraft flying real missions, from Ukraine to the Indo-Pacific, protecting service members and civilians.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
