Build production AI systems that improve technical learning for Hivemind engineers and customers. Develop an AI training coach, LLM-powered tooling, workshops, curricula, labs, assessments, and content automation. Integrate generative AI, retrieval, agents, and evaluation capabilities while maintaining strong software engineering, testing, observability, security, and operational standards. Collaborate with autonomy experts, engineers, applications engineering, and customer success to accelerate technical proficiency and product adoption.
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
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:
Hivemind gives engineers a comprehensive platform to develop, test, and deploy AI pilots. The value of that platform depends on how quickly technical teams can build sound mental models, complete real workflows, and apply the software with confidence. This engineer will create the learning systems that make expert knowledge available at the moment of need, reduce the delay between product change and customer readiness, and help the Learning & Development team scale quality without losing technical rigor.
#LI-KC3
#LC
Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
###
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
Similar Jobs at Shield AI
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Leads Shield AI’s YouTube strategy, editorial calendar, video production, editing, publishing, packaging, and channel growth. Produces explainers, interviews, product stories, flight-test content, event coverage, and short-form videos. Manages projects from concept through final delivery while partnering with technical experts, executives, and communications teams. Analyzes audience performance metrics and builds scalable production workflows that support brand, business, accuracy, and security goals.
Top Skills:
Adobe After EffectsAdobe AuditionAdobe PhotoshopAdobe Premiere ProDavinci ResolveYoutubeYoutube Analytics
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Owns the aircraft fuel system from requirements and architecture through design, procurement, integration, testing, flight, and operational support. Designs and analyzes tanks, pumps, valves, plumbing, venting, sensing, and related hardware across demanding operating conditions. Leads technical reviews, supplier engagement, testing, data analysis, failure investigations, and cross-functional integration for autonomous aircraft systems.
Top Skills:
Aerospace Fuel SystemsAnsysCfdData AcquisitionFeaFluid SystemsGfsspInstrumentationPropulsion SystemsPythonRefprop
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Supports enterprise IT hardware and software asset management, procurement, inventory reconciliation, licensing, equipment logistics, lifecycle tracking, reporting, audit readiness, and process documentation. Coordinates onboarding, offboarding, refreshes, recoveries, repairs, renewals, and secure device disposition while maintaining accurate records across ITAM, CMDB, procurement, and service management systems. Partners with internal teams, vendors, and employees to resolve requests and improve workflow accuracy and efficiency.
Top Skills:
CmdbErpItamItarItsmNistSocWorkflow Automation
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
