Software Engineer III, AI Digital & Engineering Software

X-energy; Rockville (MD); On-site; USD 120,000 - 165,000; Full time

Job summary

X-energy LLC seeks an AI & Digital Engineering Software Engineer III to support the AI Solutions Tiger Team, accelerating Xe-100 reactor development by designing and building production-ready, AI-native applications, agentic workflows, and the supporting platform infrastructure.

In a fast-paced, collaborative team under senior engineers, you will apply large language models, agentic AI, and cloud-native engineering practices to advance X-energy's integrated engineering efforts and scalable

Responsibilities

• Supports X-energy's AI Solutions Tiger Team by contributing to design and development of AI-native applications and agentic workflows.
• Participates in building the platform infrastructure that underpins production-ready AI solutions.
• Works under direct guidance and supervision of senior engineers and technical leadership, applying modern LLMs, agentic AI, and cloud-native practices.

Job description

X-energy LLC conducts a thorough recruiting process and will never issue offers without interview to discuss qualifications and responsibilities. All applications will be submitted via our company career page, www.x-energy.com/careers/. We will never ask you to provide payment information as part of the recruiting process. If anyone claiming to represent X-energy directs you in a manner otherwise, please contact us at www.x-energy.com/contact-us.

Job Description

The AI & Digital Engineering Software Engineer III supports X-energy's Artificial Intelligence (AI) Solutions Tiger Team, which accelerates Xe-100 nuclear reactor development workflows by designing and building production-ready, AI-native applications, agentic workflows, and the platform infrastructure that supports them. Working in a fast-paced, collaborative team environment and under the direct guidance and general supervision of senior engineers and technical leadership, this engineer applies modern large language models, agentic AI, and cloud-native engineering practices to help move X-energy from siloed