Software Engineer IV, Artificial Intelligence

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

This role is responsible for contributing to X-energy's Artificial Intelligence (AI) Solutions Tiger Team that accelerates XE-100 nuclear reactor development workflows across business and engineering functions. Working under the leadership of the Artificial Intelligence function in a collaborative tiger team environment, this position requires expertise in at least one of the following areas: front-end development, agentic AI, data/systems integration, ML-Ops, or product management. The position will work closely with colleagues to rapidly develop and deploy AI solutions that enhance engineering productivity, knowledge management, and decision support across X-energy.

Job Profile Tasks/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.
• •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.
• •Perform additional duties based on area of assignment:
• •Front-end Development:
• •Design and implement user interfaces using React, TypeScript, Tailwind CSS, and Vite.
• •Develop full-stack solutions connecting frontend interfaces to AWS backend services.
• •Create responsive dashboards and visualization tools for engineering workflows and AI agent interactions.
• •Implement real-time communication through WebSockets and REST APIs.
• •Architect maintainable, scalable frontend solutions for technical applications.
• •Implement secure authentication and authorization systems for enterprise applications.
• •Create and maintain CI/CD pipelines for web applications.
• Agentic AI:
• •Research and implement cutting-edge techniques in autonomous agent development.
• •Implement safety and alignment protocols for autonomous systems in engineering contexts.
• •Develop frameworks with LangChain, LangGraph, and AWS Strands for complex workflows.
• •Implement RAG and graph-RAG systems for enhanced knowledge retrieval.
• •Create systems for agent reasoning, planning, memory management, and tool calling.
• •Develop multi-turn agentic workflows optimized for engineering and business contexts.
• •Design and implement autonomous agent architectures using AWS Bedrock and related services.
• •Data & Systems Integration:
• •Strong experience designing and implementing data lakes and ETL processes.
• •Deep expertise in AWS data services including Glue, Aurora, DynamoDB, and S3.
• •Background in integrating diverse systems and data sources.
• •Experience with API design and implementation.
• •Proficiency with data modeling and schema design for varied workloads.
• •Understanding of data security and governance best practices.

• •ML - Ops:
• •Create automated deployment pipelines using modern CI/CD tools.
• •Develop monitoring systems for application performance and reliability.
• •Implement versioning and governance for code and dependencies using version control systems.
• •Design and maintain continuous integration workflows.
• •Establish cloud development lifecycle practices across platforms.
• •Create testing frameworks for validating system behavior in serverless environments.
• •Configure and optimize container orchestration services for application deployment.

• •Product Management:
• •Develop detailed technical specifications for AI products and solutions.
• •Create and maintain product roadmaps aligned with engineering needs.
• •Serve as technical liaison between development team and internal customers.
• •Define and track product metrics and success criteria.
• •Develop product strategy and positioning for AI solutions.
• •Create training materials and documentation for users.
• •Design go-to-market strategies for internal AI solution adoption.
• •Evaluate and select appropriate AWS services for solution architecture.
• •Develop AWS cost optimization strategies and resource planning.
• •Create integration strategies between AWS services and existing systems.
• •Design and document API specifications and technical requirements.
• •Create system architecture diagrams and technical documentation.
• •Develop technical prototypes and proof-of-concepts using appropriate frameworks.
• •Perform technical analysis of competing solutions and technologies.
• •Conduct technical reviews and code walkthroughs with engineering teams.
• •Implement performance testing methodologies and benchmarking strategies.
• •Create technical acceptance criteria for feature development.
• •Design data models and database schemas to support product features.
• •Develop technical migration plans for system upgrades.

Job Profile Minimum 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.
• •Strong communication skills and ability to explain complex technical concepts.
• •Additional qualifications based on assigned area:
• •Front-end Development:
• •Strong expertise in React, TypeScript, and modern JavaScript development.
• •Experience with Vite, Bun, and Tailwind CSS.
• •Proficiency in implementing WebSockets and REST APIs.
• •Background developing user interfaces for technical or engineering applications.
• •Experience with AWS services for web application deployment.

• •Agentic AI:
• •Deep expertise in modern large language models and agent architectures.
• •Experience implementing multi-turn agentic workflows.
• •Proficiency with RAG and graph-RAG implementations.
• •Experience with LangChain, LangGraph, AWS Strands, or similar frameworks.
• •Strong understanding of AWS AI services, particularly AWS Bedrock.
• •Background in developing AI systems for practical business applications.

• •Data & Systems Integration:
• •Strong experience designing and implementing data lakes and ETL processes.
• •Deep expertise in AWS data services including Glue, Aurora, DynamoDB, and S3.
• •Background in integrating diverse systems and data sources.
• •Experience with API design and implementation.
• •Proficiency with data modeling and schema design for varied workloads.
• •Understanding of data security and governance best practices.

• •ML-Ops:
• •Background in deploying and monitoring applications in production environments.
• •Knowledge of versioning systems for code and dependencies.
• •Experience with continuous integration and DevOps tools.
• •Understanding of cloud development lifecycle practices.
• •Background in testing frameworks for systems.
• •Experience with cloud-based monitoring and alerting solutions.
• •Proficiency with cloud deployment services and containerization.

• •Product Management:
• •Experience in technical product management for software or AI products.
• •Background creating product roadmaps and specifications.
• •Experience serving as technical liaison with customers.
• •Knowledge of product metrics definition and tracking.
• •Understanding of go-to-market strategy development.
• •Experience creating training materials and documentation.
• •Familiarity with AWS service portfolio and selection strategies.
• •Experience with AW