Application Guide

How to Apply for AI Platform Engineer

at XENERGY

🏢 About XENERGY

XENERGY is reinventing nuclear power by developing advanced reactor designs that are safer, more affordable, and carbon-free. As a company at the forefront of clean energy innovation, they offer a mission-driven environment where your work directly contributes to combating climate change.

About This Role

As an AI Platform Engineer, you will design and maintain the cloud infrastructure and CI/CD pipelines that power XENERGY's AI and data-driven applications. Your work ensures reliable, scalable deployment of containerized services critical to nuclear energy innovation.

💡 A Day in the Life

A typical day might start with reviewing pipeline failures or monitoring dashboards in Datadog, then collaborating with data scientists to containerize a new ML model. After lunch, you might write Terraform modules to provision a new ECS service, and end the day by optimizing Docker images for faster deployments.

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Interview Prep

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🎯 Who XENERGY Is Looking For

  • 10+ years of experience with at least 3 years hands-on Docker in production environments, including image optimization and security scanning.
  • Deep expertise in GitLab CI/CD pipeline design, including multi-stage pipelines, caching strategies, and automated testing integration.
  • Proven track record architecting AWS infrastructure with Terraform, specifically ECS, ECR, VPC, and ALB/NLB across multiple accounts.
  • Strong understanding of AI/ML concepts and experience deploying machine learning models in containerized environments.

📝 Tips for Applying to XENERGY

1

Highlight specific Docker optimization techniques you've used (e.g., multi-stage builds, layer caching) and include examples of production Dockerfiles.

2

Quantify your experience with GitLab CI/CD—mention the number of pipelines managed, runner configurations, and any custom automation scripts.

3

List the exact AWS services you've managed with Terraform (ECS, ECR, DocumentDB, OpenSearch, etc.) and describe the scale (e.g., number of clusters, data volume).

4

Showcase any experience with Datadog monitoring—mention dashboards you've built or alerts configured for containerized applications.

5

Tailor your resume to emphasize nuclear or energy sector experience if applicable; otherwise, focus on high-availability and security aspects relevant to critical infrastructure.

✉️ What to Emphasize in Your Cover Letter

["Express passion for clean energy and XENERGY's mission to make nuclear power safer and more accessible.", 'Emphasize your hands-on expertise with Docker and GitLab CI/CD in production, providing a specific example of a complex pipeline you built.', 'Demonstrate your ability to architect scalable AWS infrastructure with Terraform, mentioning DocumentDB or OpenSearch if you have experience.', "Show understanding of AI/ML deployment challenges (model versioning, inference scaling) and how you've addressed them."]

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Read about XENERGY's Xe-100 reactor design and how it differs from traditional nuclear plants.
  • → Review their recent news and partnerships, especially regarding AI integration in nuclear operations.
  • → Understand the regulatory environment for advanced nuclear reactors in the US (e.g., NRC licensing).
  • → Look at their engineering blog or tech talks if available, to understand their tech stack and culture.

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Design a GitLab CI/CD pipeline for a microservice that requires automated testing, container building, and deployment to ECS.
2 Explain how you would optimize a Docker image for a machine learning model to reduce size and improve startup time.
3 Describe your approach to managing Terraform state in a team environment, including remote state locking and module structure.
4 How would you monitor and troubleshoot a slow DocumentDB query in a production ECS service?
5 Discuss a time you had to migrate a legacy application to containers and the challenges you faced.
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⚠️ Common Mistakes to Avoid

  • Avoid generic Docker experience without specifics; provide concrete examples of production pipelines and optimizations.
  • Don't exaggerate AI/ML experience—if you lack it, be honest but show willingness to learn and transferable skills.
  • Avoid mentioning only basic AWS services (EC2, S3) without demonstrating deeper expertise in ECS, Terraform, or data services.

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to XENERGY!

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