As a Cloud Engineer at Prior Labs GmbH, you will architect the core infrastructure powering next-generation foundation models. You’ll design scalable backend systems, manage cloud-native deployments, and establish MLOps best practices. Working alongside world-class researchers, you’ll bridge the gap between cutting-edge AI research and reliable, production-grade systems in a high-impact environment.
Cloud Engineer at Prior Labs GmbH
Prior Labs GmbH is looking for a Cloud Engineer to build and scale the infrastructure for their state-of-the-art foundation models. In this high-impact role, you will collaborate directly with world-class AI researchers to translate cutting-edge research into reliable, production-grade systems. If you have 3+ years of experience with Kubernetes, Terraform, and Python, and want to own the architectural direction of a growing AI company in Germany or NYC, this is your chance to shape the future of machine learning infrastructure.
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Location
Berlin, Germany
Compensation
Not Disclosed
Company
Prior Labs GmbH
Role overview
Prior Labs builds multimodal tabular foundation models (TFMs), starting with TabPFN, designed to understand tables natively and perform statistical reasoning directly from data. The company says its broader vision is to create agentic AI systems that can understand high-level goals, combine tables, language, and images, reason across modalities, integrate domain knowledge, infer causality, and adapt dynamically.
What you will do
- Design and implement robust, secure backend systems and production-grade APIs for serving and fine-tuning core foundation models.
- Manage core cloud infrastructure using Terraform for Infrastructure as Code (IaC), focusing on reliability, observability, and cost-efficiency.
- Implement secure, GDPR-compliant data storage and access controls while driving high standards for CI/CD and automated testing.
Who this is a fit for
- Has 3+ years of professional experience in cloud engineering, SRE, or data platform roles with a track record of managing production infrastructure.
- Demonstrates proficiency in Python and hands-on experience with containerization and orchestration technologies like Docker and Kubernetes.
- Possesses a strong understanding of data modeling and processing, ideally with experience in MLOps or data warehousing platforms like Snowflake.
Why this role is remarkable
- You will have complete ownership over the architectural decisions and engineering best practices for serving state-of-the-art AI foundation models.
- This is a rare opportunity to build the backbone of an AI company from the ground up, working directly with top-tier AI researchers.
- The role offers significant autonomy and a clear path toward technical leadership or specialization in ML infrastructure as the team expands.
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If your profile’s a match and Prior Labs GmbH wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.