AI Engineer | Amsterdam | AI Products in Production

This AI engineer position is for a fast-growing technology company in Amsterdam that’s building real-world AI solutions already operating at scale — and they’re now looking to bring in an AI Engineer to help take things to the next level.

This isn’t a research-only environment or a role where models sit in notebooks. The team is focused on building AI systems that are deployed, used by customers, and driving genuine business impact.

They’re looking for someone who enjoys solving complex engineering challenges and wants to work across the full AI lifecycle — from development and experimentation through to deployment, optimisation, and production scalability.

Please note: this opportunity is only available on a payroll contract basis and is not open to freelance/ZZP contractors.

What You’ll Be Working On

You’ll join a highly collaborative engineering and AI team, working closely with Data Scientists, Product teams, and Software Engineers to build scalable AI-powered applications.

The work includes:

Developing and deploying production-grade AI/ML solutions
Building scalable pipelines and backend AI services
Working on GenAI and LLM-based applications
Improving infrastructure, monitoring, and model performance
Designing cloud-native AI systems
Implementing MLOps and CI/CD best practices
Helping shape technical direction and architecture as the company continues to scale

This is the kind of environment where you’ll have genuine ownership, autonomy, and the ability to influence how AI is integrated across products and platforms

What They’re Looking For

Experience as an AI Engineer, ML Engineer, or strong Software Engineer with AI exposure
Strong Python development skills
Hands-on experience with frameworks such as PyTorch, TensorFlow, or Scikit-learn
Experience deploying models into production environments
Good understanding of cloud platforms (Azure, AWS, or GCP)
Experience with Docker, Kubernetes, and modern engineering practices
Knowledge of APIs, backend systems, and scalable architectures
Exposure to MLOps tooling and automated deployment pipelines
Interest or experience in Generative AI, LLMs, RAG pipelines, or vector databases would be a big plus

Why This Opportunity Stands Out

Work on AI products that are genuinely live and scaling
High-impact engineering role with real ownership
Collaborative and technically strong team
Fast-moving environment where ideas get implemented quickly
Modern hybrid working setup in Amsterdam
Strong progression opportunities as the business grows
Competitive salary and benefits package

If you’re interested in building AI systems that move beyond proof-of-concepts and into real production environments, this could be a very strong fit.

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