Full Stack AI Engineer

Doxis; Groningen; Sur place; EUR 70 000 - 110 000; Plein temps

Résumé du poste

Klippa – a Doxis company, is hiring 3 Full Stack AI Engineers to build production-grade AI applications from idea to deployment. You will work across AI, backend systems, and product development to deliver real-world AI solutions used by global companies.

We value hands-on AI/ML expertise, scalable design thinking, and strong communication with customers. Proficiency in Python, PyTorch, TensorFlow, Docker, Angular and GoLang is highly desirable as you collaborate across the tech stack.

Qualifications

• Proven experience building production-ready, end-to-end applications.
• Strong hands-on expertise in AI/ML frameworks.
• Ability to translate requirements into scalable designs and architectures.
• Experience with scalability and performance engineering.
• Willingness to Learn across the full tech stack.

Responsabilités

• Design and build end to end applications spanning backend, frontend and AI components.
• Develop and implement AI models using PyTorch and TensorFlow.
• Take ownership from concept to production: design, implement, deploy and optimize.
• Build and maintain containerized applications using Docker.
• Improve CI/CD pipelines and automate deployments.
• Collaborate with product and customer-facing teams.
• Present technical solutions during customer calls and live demos.

Connaissances

Strong communication skills

Fluent English

Curiosity and fast learner

Solution builder mindset

Understanding of scalability

Practical, challenge-driven attitude

Outils

Python

PyTorch

TensorFlow

Docker

Angular

GoLang

Description du poste

At Klippa – a Doxis company, we build AI systems that understand and process millions of real-world business documents.

Our technology helps companies automatically extract data from invoices, receipts, passports, and contracts using advanced machine learning, computer vision, and LLM-based AI systems.

To accelerate our product development, we are hiring 3 Full Stack AI Engineers who want to build production-grade AI applications from idea to deployment.

This role is ideal for engineers who enjoy working across AI, backend systems, and product development.

What You'll Do.

Most importantly, you will work on real-world AI systems used by global companies.

• Design and build end to end applications and new features that deeply embed AI - spanning backend, frontend, and AI components.
• 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.

What You Bring.

We look for the right work ethic, character and a genuine passion for technology. We care less about specific degrees or X years in experience.

• 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, displayed below. Experience in all is not required, but a strong willingness to learn is essential.
• Strong communication skills and comfort engaging directly with customers.
• You speak English fluently, any additional language is a plus .
• Python
• PyTorch
• TensorFlow
• Angular
• GoLang
• Docker

You don’t need experience with everything on this list - curiosity and the ability to learn quickly are more important.

In case of any questions, please reach out to the recruitment team: [e-mail]

If we caught your attention, please send us your application via the "apply"-button - please make sure to add your preferred start date and your salary expectations.