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Generative AI Application Engineer, Learning & Development (R5856)

Shield AISan Diego, CaliforniaApplications Engineering
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Salary
Not listed
Job type
Full Time Employee
Experience
Senior
Posted
15 Sept 2026
Status
Open · checked 7d ago

About this role

This position suits software professionals with experience in production AI and technical education who want to build developer tools in San Diego, California. The Generative AI Application Engineer, Learning and Development role at Shield AI involves creating AI-powered training products and systems that help technical learners master the Hivemind autonomy platform.

Role Overview

The Generative AI Application Engineer, Learning and Development is a full-time, hands-on individual contributor position based in San Diego, California. Operating within the Hivemind Learning and Development team, the professional in this position merges production AI engineering, developer experience, and technical education. The primary objective is to build the AI-powered products, content systems, and measurement capabilities that accelerate technical proficiency and product adoption for Hivemind.

Key Responsibilities

Develop an AI-powered training coach designed to assist learners with Hivemind concepts, products, and development workflows.
Design highly technical Hivemind training materials and practical hands-on workshops for engineers and technical users.
Build prompt-based tooling to automatically generate workshops and supporting learning content from defined objectives, target audiences, and source materials.
Implement LLM-based tooling that automates the continuous upgrade and improvement of educational materials.
Construct AI systems that enable, streamline, and automate workflows within the Learning and Development department.

Requirements

Progressive background in building production software, AI-enabled products, developer tools, technical learning platforms, or similar systems.
Practical experience integrating large language models, generative AI APIs, retrieval-augmented generation, agents, prompt workflows, or AI-assisted automation into production environments.
Solid software engineering foundations covering API design, testing, observability, documentation, secure coding, maintainable architecture, and operational ownership.
Professional proficiency in Python along with the capability to read, debug, and write credible examples in modern C++.
Background in translating complex software or systems concepts into clear technical documentation, hands-on labs, workshops, or enablement material.
Capacity to learn a sophisticated technical product rapidly, collaborate with subject-matter experts, and turn ambiguous requirements into testable learning solutions.
Experience assessing AI system quality through automated tests, structured human review, telemetry, or task-based performance measures.
Clear communication abilities and a collaborative approach suited for working with cross-functional partners, instructors, and customers.

Nice to Have

Experience working with autonomy, robotics, aerospace, defense, simulation, distributed systems, or safety-critical software.
Background in developer education, instructional design, learning science, intelligent tutoring systems, or assessment design for technical audiences.
Familiarity with AI evaluation, 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 while troubleshooting live environments.
Bachelor degree in Computer Science, Engineering, Robotics, Data Science, Learning Technology, or a related discipline, or equivalent practical experience.

Skills and Tools

Python
Modern C++
Large Language Models
Generative AI APIs
Retrieval-Augmented Generation
AI Agents
Vector Databases
Enterprise Search
Model Gateways

Salary and Benefits

Compensation package includes base pay within the listed range, bonus, benefits, and equity.
Temporary employee offer packages include pay within the range and a temporary benefits package applicable after sixty days of employment.
Compensation is influenced by factors including skill set, experience level, licenses, certifications, and work location.
All offers are contingent on a cleared background check and possible reference check.

About the Company

Shield AI is a venture-backed defense technology enterprise with the mission of protecting service members and civilians through intelligent systems. Its product ecosystem includes Hivemind autonomy software, V-BAT and X-BAT aircraft, as well as Aechelon simulation and synthetic reality technologies. The company operates offices and facilities across the United States, Europe, the Middle East, and Asia-Pacific.

How to Apply

Interested candidates should apply directly on the official company careers page.

Skills and tech stack

PythonC++LLMsGenerative AI APIsRAGVector DatabasesLLMGenerative AIDistributed Systems

Questions candidates ask

Where is the Generative AI Application Engineer role located?

The position is based in San Diego, California.

What programming languages are required for this role?

Professional proficiency in Python is required, along with the ability to read, debug, and create examples in modern C++.

What does the role involve building?

The role builds AI-powered training products, an AI training coach, prompt-based workshop generation tooling, LLM-based upgrade tools, and technical curricula for the Hivemind platform.

What are the components of the employee offer package?

The full-time employee offer package includes pay within the listed range, a bonus, benefits, and equity.

What is Shield AI's core mission?

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

Ready to apply?

The application is on the official Shield AI careers page.

Apply on company site