Engineer Gezocht

AI Engineer

We’re seeking a passionate AI Engineer to spearhead the next generation of developer productivity tools. This is a strategic, high-impact role where you’ll shape how AI transforms software engineering practices, improving velocity, quality, and collaboration across distributed teams.

• This isn’t about building yet another coding assistant. Think bigger;

AI-driven orchestrationfor coding, testing, and release automation. Imagine frameworks that integrate multiple AI agents : architects, reviewers, quality engineers, working harmoniously to supercharge development workflows. That’s the challenge you’ll own.

If you thrive at the intersection of software engineering excellence and cutting-edge AI and want to benchmark how modern engineering teams leverage AI, this role is for you.

You will design and build AI-powered tools that accelerate software development, from code generation to innovative review systems and intelligent automation. You’ll operationalise AI at scale by orchestrating multi-agent AI systems, running A / B testing frameworks, and fine-tuning models for real-world engineering use. You’ll experiment continuously, deploying data-driven methods to measure productivity gains and evolve the platform over time. Collaboration will be key as you work with engineering leads, DevOps, and security teams across regions to ensure seamless adoption of AI capabilities. You’ll also lead workshops, onboard teams, and champion the cultural adoption of AI-driven development practices.

What We’re Looking For

5+ years in software engineering, platform engineering, or developer productivity roles

Hands-on experience with LLM-based tools, agent orchestration, or AI-powered code generation systems

Proficiency in languages such as Python, TypeScript, Go, or Rust, plus exposure to CI / CD pipelines, monorepos, and infrastructure-as-code

Ability to balance technical execution with a clear vision for how AI transforms software delivery

Why This Role Stands Out

Your work directly shapes how entire engineering teams work with AI

then put them into production

As AI adoption scales, you’ll be at the center of defining best practices for the future of software engineering

Work across international teams, share knowledge, and lead cultural adoption of next-gen tools