Software Engineer V, AI Digital & Engineering Software

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Job Description The AI & Digital Engineering Engineer contributes to 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, agenticworkflows, and the platform infrastructure that supports them. Working in a fast-paced, collaborative team environment, this engineer applies modern large language models, agentic AI, and cloud-native engineering to move X-energy from siloed documents toward a living, queryable engineering model spanning requirements, design, manufacturing, regulatory, and deployment processes.

This role is essential to Xenergy's mission of becoming an AI-first organization and setting the industry standard for nuclear deployment speed and operational excellence.

Job Profile Tasks/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.

Specialization Tracks Track A — Front-End & Full-Stack Design and implement user interfaces using React, Type Script, Tailwind CSS, and Vite.

Develop full-stack solutions connecting front-end interfaces to AWS backend services (Lambda, ECS, DynamoDB, and related services).Create responsive dashboards and visualization tools for engineering workflows and AI agent interactions.

Implement real-time communication through Web Sockets and REST APIs.Architect maintainable, scalable front-end solutions for technical and engineering applications.

Implement secure authentication and authorization systems for enterprise applications.

Create and maintain CI/CD pipelines for web applications.

Build proof-of-concept demonstrations to validate solution approaches with stakeholders before full development.

Conduct user acceptance testing to ensure solutions meet real-world engineering requirements, and implement feedback loops between users and developers to iterate rapidly.

Track B — Agentic AIDesign and implement autonomous agent architectures using AWS Bedrock and related services.

Develop multi-turn agentic workflows — with reasoning, planning, memory management, and tool calling — optimized for engineering and business contexts.

Implement RAG and Graph-RAG systems (using Amazon Neptune or equivalent knowledge-graph infrastructure) for enhanced knowledge retrieval, requirements traceability, change-impact analysis, and design reuse.

Build AI applications for automated…