CUBE

CUBE is seeking an MLOps Engineer to build and operate the infrastructure behind production machine learning models and LLM integrations. The role will establish MLOps practices across pipelines, deployment, observability, governance, and platform reliability.

Senior Agentic AI Engineer building production-grade, multi-agent LLM systems that reason over data, orchestrate workflows, and drive decisions for enterprise regulatory compliance. The role combines backend engineering with applied LLM, NLP, and agentic AI development in a hybrid Berlin AI lab.

QA Engineer responsible for building scalable automated testing and data-quality validation for backend services, APIs, and document-processing workflows. The role uses Python and modern test frameworks to improve release confidence through CI/CD-integrated quality automation.

Senior Software Engineer responsible for building scalable, secure backend services and APIs in Python for CUBE’s regulatory intelligence SaaS platform. The role focuses on cloud-native applications, database performance, reliability, and end-to-end delivery.

CUBE is seeking a Technical Lead to own the architecture of an eight-stage Azure regulatory content pipeline, including API contracts, event-driven integrations, XML delivery, and QA automation. The role combines hands-on backend and distributed-systems engineering with technical leadership and mentoring.

Join CUBE’s Berlin AI lab as a Frontend Engineer building scalable React and TypeScript applications, including intuitive interfaces for AI agents. You’ll work in a small cross-functional team with meaningful ownership over UI/UX, architecture, and product decisions.

Senior Software Engineer building scalable backend services and modern frontend applications for CUBE’s AI-powered regulatory intelligence SaaS platform. The role combines distributed systems, cloud-native Azure services, high-volume data processing, web crawling, and technical mentorship.