Senior AI Platform Engineer — Digital Engineering

X-energy; Rockville (MD); Hybrid; USD 150,000 - 210,000; Full time

Job summary

X-energy LLC is seeking an AI & Digital Engineering Engineer to join the AI Solutions Tiger Team, accelerating Xe-100 reactor development with AI-native applications and agentic workflows. The role centers on building production-ready AI tooling and platform infrastructure to support cross-functional engineering activities.

In a fast-paced, collaborative setting, you will apply modern LLMs and cloud-native engineering to evolve from siloed documents to a living, queryable engineering model

Responsibilities

• Work collaboratively in a tiger-team environment to rapidly develop production-ready AI solutions.
• Leverage Claude Code and AI-assisted development tools to accelerate development, prompt iteration, and maintenance tasks.
• Apply knowledge of LLMs and AI systems to support the platform’s AI-native architecture.
• Partner with X-energy’s systems-engineering, licensing, and quality-assurance organizations to ensure delivered solutions and AI-generated artifacts meet nuclear-engineering and regulatory expectations.
• Document solutions, architecture decisions, and integration patterns, and support knowledge transfer to relevant technical teams.
• Implement and maintain development best practices and quality standards.
• Execute core tasks and responsibilities with minimal supervision in a fast-paced, team-oriented environment.
• Perform work in accordance with X-energy quality assurance procedures.
• Maintain professional demeanor and behavior at all times in all forms of communication.
• Perform other duties as assigned by manager.

Job description

X-energy LLC is seeking an AI & Digital Engineering Engineer to join the AI Solutions Tiger Team, accelerating Xe-100 reactor development with AI-native applications and agentic workflows. The role centers on building production-ready AI tooling and platform infrastructure to support cross-functional engineering activities.

In a fast-paced, collaborative setting, you will apply modern LLMs and cloud-native engineering to evolve from siloed documents to a living, queryable engineering model