Principal Engineer, Generative AI

Position Overview

• Location Type: Hybrid
• Employment Type: Full Time Employee
• Company: Shield AI

Shield AI is a venture-backed defense technology company dedicated to protecting service members and civilians with intelligent, autonomous systems. They offer products like Hivemind Enterprise (EdgeOS, Pilot, Commander, and Forge), V-BAT, and Sentient Vision Systems. With offices in San Diego, Dallas, Washington, D.C., Abu Dhabi (UAE), Kyiv (Ukraine), and Melbourne (Australia), Shield AI’s technology supports U.S. and allied operations worldwide. Visit www.shield.ai for more information.

As a Principal Engineer on the Generative AI (Gen AI) Team, you will be instrumental in leveraging generative AI to accelerate development for both internal teams and customers. This cross-functional team within the Systems Group collaborates closely with Software Operations, Autonomy Factory Team, and other stakeholders to integrate AI-driven solutions.

Requirements

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Experience: 15+ years of experience developing large, production-quality software systems for Machine Learning or Autonomy.
• Programming Languages: Expertise in modern programming languages such as Python, C++, or Go.
• Generative AI: Proven experience with generative AI models and frameworks (training, fine-tuning, and deployment).
• Software Development Practices: Strong knowledge of software development best practices (CI/CD, version control – Git, and code management tools).
• Leadership: Demonstrated ability to lead cross-functional projects and mentor junior engineers.

Responsibilities

• Core Product Enhancements: Develop and integrate generative AI tools to augment existing feature sets for internal and external consumption.
• Standalone Applications: Design and implement new AI-driven tools to improve developer velocity (e.g., upgrade assistants, documentation aides).
• Internal Process Tools: Create and deploy AI solutions to enhance internal release velocity (e.g., PR review automation, bug resolution agents).
• Collaboration: Work closely with the Software Operations group to define requirements and timelines for compute and networking needs, ensuring adherence to best practices and IP safety standards.
• Integration: Partner with the Autonomy Factory Team to incorporate AI tooling into deployed servers, enhancing workflows and user experiences.

Application Instructions

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Preferred Qualifications

• AI Integration: Familiarity with AI integration into developer tooling and workflows.
• Cybersecurity: Knowledge of cybersecurity best practices related to AI deployments.
• Cloud Infrastructure: Experience with cloud platforms and scalable AI infrastructure.