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GitGuardian Logo GitGuardian · IT - Software Development

Software Engineer (AI Productivity)

France, Paris · Job Posted February 07, 2026
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Job Description

At GitGuardian, we're not watching the AI revolution from the sidelines—we're integrating it deeply into both our products and our internal processes. We're looking for a Senior engineer ready to tackle a new frontier: leading our AI productivity efforts as this field rapidly evolves. You will be joining a team of 2 experienced engineers in Developer Efficiency, and working closely with our 40 engineers. As a AI Productivity Engineer, you'll be responsible for researching, experimenting with, and integrating AI tools that improve developers' daily work. Your goal is to boost tech team productivity without sacrificing code quality or maintainability. You'll also be a key driver of change management around these tools.

Job Responsibility

  • Increase AI Adoption: Test and benchmark AI code generation tools (Claude, Cursor, GitHub Copilot, Aider, etc.)
  • Test and industrialize AI practices, by building POCs, scripts, and internal integrations
  • Train developers and document best practices for AI-assisted development
  • Measure impact on delivery timelines, deployment frequency, and code quality
  • Drive change management and evangelize AI adoption across engineering teams
  • Enhance Development Tooling: Propose concrete integrations into our stack (Python, Rust, Typescript) and CI/CD pipeline
  • Act as a force multiplier for engineering teams by developing and championing AI workflows that accelerate roadmap feature delivery, with your own practice serving as validation
  • Optimize development workflows with AI-assisted tools
  • Build and maintain internal productivity tools
  • Enhance CI/CD Processes: Audit the complete CI/CD chain: friction points, token costs, baseline DORA metrics
  • Integrate AI tooling into the pipeline (automated tests, changelog generation, code review assistance)
  • Streamline build processes and reduce lead time from code to production
  • Monitor and optimize AI budget: track costs/tokens and implement quota policies

Requirements

  • Demonstrated a product-oriented mindset with deep empathy for engineer workflows and needs
  • Extensive development experience: 5+ years in web development (Python)
  • Strong DevOps culture: Understanding of CI/CD, infrastructure, and deployment practices
  • AI/LLM experience: Hands-on with AI tools or LLM APIs (OpenAI, Claude, etc.)
  • Structured mindset: Autonomous, capable of documenting, simplifying, and evangelizing
  • Deep curiosity: Able to dive deep into technical subjects
  • Change management: Experience with internal training or driving adoption of new practices
  • Fluency in English

Nice to have

  • Proven AI tooling experience: At least one experience implementing AI tools in a team of 5+ developers, with measurable impact
  • Experience with monolithic architectures
  • Familiarity with infrastructure as code
  • Contributions to open-source projects
  • Background in platform engineering
  • Fluency in French

What we offer

  • Package includes stock-options
  • Lunch voucher (Swile)
  • Non-charged health insurance for children (Sidecare / Generali)
  • Up to €300 to improve your home office set-up
  • Yearly holiday allowance
  • Referral bonus of 4000€ for any new Guardian we might hire thanks to you
  • Team building: monthly budget dedicated to each employee that you can spend as you wish, with colleagues (latest examples to date: Michelin star restaurant, karaoke, stand-up show, kitesurfing week-end, ...)
  • Remote policy: hybrid (3 days/week at the office)
  • Opportunities for career development in the long term
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