AI Tools Engineer (Storage Infrastructure)

Crusoe Energy Systems

San Francisco (CA)

On-site

USD 180,000 - 230,000

Full time

13 days ago

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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 is building the AI infrastructure that powers the next generation of intelligence, and we empower our own engineers to operate at the same frontier. The Storage engineering team is the backbone of Crusoe’s AI cloud platform
  • You’ll have real latitude here. You’ll build AI powered tools that make storage operations and engineering workflows faster and smarter, and you’ll shape how an entire engineering team works by driving adoption of tools like Claude Code, Codex; mentoring engineers one on one, and removing the friction that keeps great tools from getting used
  • If you love building and using AI tools, and love getting others just as excited about them, please apply
  • Build AI-powered automation for storage operations and workflows that reduces manual engineering toil
  • Drive adoption of AI coding tools (Claude Code, Codex, and others) across the Storage team — creating use cases, lowering friction, and making the case for new tools the team isn’t using yet
  • Help engineers use AI to handle test creation, correctness checks, and code review, so developers spend less time on repetitive work
  • Coach and mentor other engineers on effective use of AI tools, rather than just using them solo
  • Partner closely with DevX on tooling and platform-level changes (CI, broader infra) — this role drives adoption and use cases within Storage, not ownership of DevX-owned platform systems
Benefits
  • Health & wellbeing: Comprehensive health benefits designed to support your overall wellness
  • Time away: Paid time off for vacations, family bonding, and unexpected needs
  • 401(k) match: Build your financial future with our 401(k) matching program
  • Mental wellness: Resources and support for your emotional wellbeing and navigating life’s challenges
  • 3+ years of professional industry experience building with AI tools, with measurable outcomes
  • Experience turning a personally built internal tool using AI into something a team relies on
  • Genuine enthusiasm for AI coding tools and experience across multiple tools (Claude Code, Codex, etc.)
  • A track record of getting a team to adopt a tool or workflow you introduced
  • Bachelor’s degree in Computer Science, Computer Engineering, or related field
  • Strong software engineering fundamentals
  • Prior exposure to Cloud storage, networking, or infrastructure environments
  • Cross functional working experience across DevX, Product Management, Engineering
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