Senior Generative AI Application Engineer, Learning & Development (R5856)

The role

You will build an AI-powered training coach and tools that turn learning objectives into workshops, labs and content for the Hivemind platform. You will also create technical curricula with autonomy experts and tooling that keeps training materials current.

What you will 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 learning content from defined objectives, audiences and source materials.
• Create LLM-based tooling that automates the ongoing upgrade and improvement of Hivemind training 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.

Nice to have

• 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.

Benefits

• Bonus (full-time regular employees).
• Benefits (full-time regular employees).
• Equity (full-time regular employees).
• Temporary benefits package, applicable after 60 days of employment (temporary employees).

Before you apply

• All offers are contingent on a cleared background check and possible reference check.
• Military fellows and part-time employees are not eligible for benefits.

About the company

Shield AI is a venture-backed defense-tech company that builds intelligent systems to protect service members and civilians. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation technologies.