Software Engineer IV, Artificial Intelligence

About the role

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 performanc