Full-Stack AI Engineer: Build Production-Grade AI Apps

Doxis GmbH; Groningen; Hybrid; EUR 60,000 - 95,000; Full time

Job summary

Klippa, a Doxis company in Groningen, Netherlands, is hiring 3 Full Stack AI Engineers to build production-grade AI applications from idea to deployment. This role suits engineers who enjoy working across AI, backend systems and product development.

You will design end-to-end applications embedding AI, develop models with PyTorch or TensorFlow, containerize with Docker, and contribute to CI/CD pipelines. You’ll collaborate with product and customer-facing teams and present technical solutions

Qualifications

• Proven experience building production-ready, end-to-end applications.
• Strong hands-on expertise in AI/ML frameworks.
• A solution builder mindset: you see the full picture, understand business impact, and translate requirements into scalable designs.
• Deep understanding of system scalability and performance engineering.
• Practical, challenge-driven attitude: you approach technical constraints as opportunities to innovate.
• Interest in working across the tech stack with a willingness to learn.

Responsibilities

• Design and build end to end applications and new features that deeply embed AI.
• Develop and implement AI models using frameworks such as PyTorch and/or TensorFlow.
• Take ownership from concept to production: solution design, implementation, deployment, and optimization.
• Build and maintain containerized applications using Docker.
• Implement and improve CI/CD pipelines.
• Collaborate closely with product and customer-facing teams.
• Participate in customer calls and live demonstrations, presenting technical solutions with clarity and confidence.

Skills

AI/ML frameworks

Full stack

Customer communication

Scalability engineering

Tools

Docker

CI/CD

Job description

Klippa, a Doxis company in Groningen, Netherlands, is hiring 3 Full Stack AI Engineers to build production-grade AI applications from idea to deployment. This role suits engineers who enjoy working across AI, backend systems and product development.

You will design end-to-end applications embedding AI, develop models with PyTorch or TensorFlow, containerize with Docker, and contribute to CI/CD pipelines. You’ll collaborate with product and customer-facing teams and present technical solutions