AI Tools Engineer, Storage Infrastructure & Automation

Crusoe Energy Systems; San Francisco (CA); On-site; USD 180,000 - 230,000; Full time

Benefits offered by this job

Health benefits

Paid time off

401(k) matching

Mental wellness resources

Job summary

Crusoe Energy Systems is building the AI infrastructure powering the next generation of AI-driven storage operations. You will create AI-powered tooling to automate workflows, reduce manual toil, and drive adoption of coding tools across the storage team.

You will mentor engineers, demonstrate measurable outcomes, and collaborate with cross-functional teams to advance platform tooling and CI improvements. A strong CS foundation and passion for AI are essential.

Qualifications

• 3+ years of professional experience building with AI tools.
• Experience turning an internal AI tool into a team-wide solution.
• Track record of driving tool adoption across a team.
• Bachelor’s degree in CS/CE or related field.
• Strong software engineering fundamentals.
• Exposure to cloud storage, networking, or infrastructure environments.
• Cross-functional experience with DevX, Product Management and Engineering.

Responsibilities

• Build AI-powered tooling to accelerate storage operations and engineering workflows.
• Drive uptake of AI coding tools across the Storage team and create use cases.
• Mentor engineers on effective use of AI tools and reduce friction to adoption.
• Collaborate with DevX on tooling and platform-level changes.

Skills

AI tool development

Tool adoption

Enthusiasm for AI coding tools

Cross-functional collaboration

Strong software engineering

Cloud/storage infra exposure

Team mentorship

Education

Bachelor's degree in Computer Science/Engineering or related field

Job description

Crusoe Energy Systems is building the AI infrastructure powering the next generation of AI-driven storage operations. You will create AI-powered tooling to automate workflows, reduce manual toil, and drive adoption of coding tools across the storage team.

You will mentor engineers, demonstrate measurable outcomes, and collaborate with cross-functional teams to advance platform tooling and CI improvements. A strong CS foundation and passion for AI are essential.