End-to-End Full Stack AI Engineer: Build Production Apps

Doxis; Groningen; Presencial; EUR 70.000 - 110.000; Jornada completa

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Strong communication skills

Fluent English

Curiosity and fast learner

Solution builder mindset

Understanding of scalability

Practical, challenge-driven attitude

Herramientas

Python

PyTorch

TensorFlow

Docker

Angular

GoLang

Descripción del empleo

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.