Senior AI Software Engineer - Frontend & Agentic AI

X-energy; Rockville, Northern (MD, KY); Hybrid; USD 110,000 - 180,000; Full time

Job summary

X-energy is seeking a technically skilled professional to contribute to the AI Solutions Tiger Team, accelerating XE-100 reactor development. You will collaborate across business and engineering, designing autonomous AI systems and workflows using AWS Bedrock, LangChain, and related tools.

The role emphasizes frontend development, data integration, ML-Ops, and product management, with a focus on production-ready AI solutions and knowledge transfer to engineering teams.

Qualifications

• Bachelor's degree in computer science, artificial intelligence, or related field from an accredited university or college.
• Experience with Git, GitLab, CI/CD, and modern development workflows.
• Proficiency with Jira, Confluence, and AI-enhanced development environments.
• Experience working in collaborative, fast-paced development teams.
• Front-end development: React, TypeScript, and modern JavaScript development.

Responsibilities

• Work collaboratively in a tiger team environment to rapidly develop production-ready AI solutions.
• Contribute to the design and implementation of autonomous AI systems that enhance XE-100 reactor development.
• Document solutions and support knowledge transfer to relevant technical teams.
• Implement and maintain development best practices and quality standards.

Skills

Front-end development

Agentic AI

Data integration

ML-Ops

Product management

Education

Bachelor’s degree in computer science or AI

Tools

AWS Bedrock

LangChain

LangGraph

AWS Glue

Aurora

DynamoDB

S3

Job description

X-energy is seeking a technically skilled professional to contribute to the AI Solutions Tiger Team, accelerating XE-100 reactor development. You will collaborate across business and engineering, designing autonomous AI systems and workflows using AWS Bedrock, LangChain, and related tools.

The role emphasizes frontend development, data integration, ML-Ops, and product management, with a focus on production-ready AI solutions and knowledge transfer to engineering teams.