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AI Adoption Engineer (AI-Driven Development)

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We are looking for a Senior Engineer who is excited about pushing the boundaries of how software is built. This role is focused on AI-driven development: exploring how modern AI tools and approaches can transform the entire development lifecycle. You will work in a small experimental team (2 engineers) running a parallel innovation track (at least for 6 months) alongside an established development team of 12 engineers working on a large production system.

The goal of this initiative is to rethink and evolve the software development process using AI, gradually covering all stages of the lifecycle: from requirements and architecture to coding, testing and delivery. This is a high-autonomy role for someone who enjoys solving ambiguous problems, experimenting with new tools and building practical solutions where best practices are still emerging.

Responsibilities

  • Explore and implement AI-driven approaches across the entire software development lifecycle.
  • Experiment with AI tools for:

    • requirements and specification generation
    • architecture and design
    • code generation and refactoring
    • automated testing
    • documentation
    • developer productivity
  • Work closely as a small team of two engineers as part of a focused innovation track.
  • Build prototypes and real implementations that can later be adopted by the wider engineering team.
  • Evaluate emerging AI tooling and determine practical ways to integrate it into development workflows.
  • Help define best practices for AI-assisted development.
  • Share findings and improvements with the broader engineering organization.

Requirements

  • 8+ years of software development experience.
  • Strong understanding of the full software development lifecycle.
  • Experience designing, building and shipping production systems.
  • Comfortable working with uncertain or exploratory problems.
  • Ability to independently investigate new technologies and approaches.
  • Strong engineering judgment and practical mindset.
  • Curiosity about how AI can transform software engineering.
  • AI experience is not required, but interest in the space is important.
  • English: conversational level.

Nice to have:

  • Experience with some of the following technologies: Go, Vue, PostgreSQL, DevOps / infrastructure / CI/CD, Distributed systems, Broad full-stack development experience.

** The wider your technical exposure across the stack, the better.

Conditions

Why this role is interesting:

  • Opportunity to shape how AI is adopted in real engineering workflows.
  • High level of freedom and ownership.
  • Work on a large production system while experimenting with future development practices.
  • Chance to influence how an entire engineering team builds software going forward.
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