Langfuse Jobs in Germany

In this role, you continuously develop our LLM proxy, facilitate access to LLM providers, ensure data protection, and support product teams with integration and model selection.

In this role, you will lead a new team of AI engineers, develop scalable backend systems, and ensure the technical implementation of AI use cases through modern API integration and cloud architectures.

In this role, you will lead a team of AI software and platform engineers to integrate AI applications into production-ready, scalable backend systems and establish agile workflows.

In this role, you take ownership of evolving our AWS and Hetzner infrastructure, operate stable environments, foster containerization and CI/CD tools, and ensure security and compliance.

In this position, you will develop complex data architectures and implement advanced models while coordinating cross-functional projects and mentoring the team on new tools and standards.

In this role, you will design complex data architectures, coordinate cross-functional projects, and manage the evolution of the data platform with a focus on self-service analytics and effective stakeholder engagement.

In this role, you will develop modern data architectures and manage our data platform. You will coordinate cross-functional projects, optimize data pipelines, and mentor the team.

In this role, you will coordinate complex data projects, design sophisticated data architectures, and lead the evolution of the data platform to enhance self-service analytics capabilities.

In this role, you will develop innovative GenAI applications to enhance internal process efficiencies and product functionalities, implement data and AI pipelines, and consult other teams on the use of AI models.

In this role, you will enhance the AI Studio, implement features using Next.js and TypeScript, optimize the RAG pipeline, and integrate APIs with tools like Jira and Microsoft 365.

In this role, you will actively shape the multi-cloud data infrastructure, develop complex machine learning processes, and oversee the implementation of data-driven software components for editorial and commercial applications.

In this role, you will develop an internal AI provisioning platform to optimize access to LLMs, implement security and governance standards, and support a performant AI backend with monitoring and observability tools.

In this role, you will develop infrastructure for generative AI applications, implement observability systems, and secure model-driven processes through governance and API management.

In this role, you will take ownership of the reliable operation of our AI infrastructure, drive automation, and optimize Kubernetes environments to enable the delivery of production-grade AI solutions.