AI jobs in Germany
Berlin, Munich, Hamburg, Frankfurt, Cologne, Stuttgart and remote roles with a Germany signal.
AI Job Radar
This list highlights roles with a direct and well-supported AI focus. Each role links back to the original source.
Regions and filters
Germany and Europe remain central entry points. You can also open remote, new and entry-level roles directly.
Berlin, Munich, Hamburg, Frankfurt, Cologne, Stuttgart and remote roles with a Germany signal.
Germany, France, Netherlands, UK, Switzerland, Austria and other European markets.
Remote and hybrid roles from the current radar data.
Roles recently seen or updated.
Junior, graduate, internship and working-student AI roles.
Compare a CV against a concrete job and derive next steps.
10 results on this page. 1385 results in total. More results are available via pagination, company pages, skill pages and job detail pages.
Elastic AI · United Kingdom
Why this is a real AI job: The role is fundamentally focused on building and evaluating the quality of an agentic platform powered by LLMs and RAG. The core responsibilities revolve around data science techniques for improving conversational search experiences.
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the…
Elastic AI · United Kingdom
Why this is a real AI job: The role is fundamentally focused on building and evaluating the quality of an agentic platform powered by LLMs and RAG. The core responsibilities revolve around data science tasks directly related to improving AI-driven conversational experiences.
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the…
Elastic AI · United Kingdom
Why this is a real AI job: The role is fundamentally focused on building and evaluating the quality of an agentic platform powered by LLMs and RAG. The core responsibilities revolve around data science tasks directly related to improving AI-driven conversational experiences.
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the…
Elastic AI · United Kingdom
Why this is a real AI job: The role is fundamentally focused on building and evaluating the quality of an agentic platform powered by LLMs and RAG. The core responsibilities revolve around data science techniques for improving conversational search experiences.
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the…
ServiceNow AI · USA
Why this is a real AI job: The role explicitly focuses on benchmarking and evaluating Agentic & Generative AI, indicating a core focus on AI technologies.
Senior Engineering Manager, Agentic & Generative AI Benchmarking and Evaluations
Databricks · San Francisco, California
Why this is a real AI job: The role explicitly focuses on research and engineering related to GenAI, LLMs, and optimizing training workflows for large models. The tasks are deeply technical and directly contribute to advancing the state-of-the-art in AI.
At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are centra…
Databricks · Remote - California
Why this is a real AI job: The role explicitly focuses on building and deploying ML models for personalized learning, including recommendation systems, skill inference, and knowledge graph construction. LLM experience is a requirement. The entire job description revolves around AI/ML a…
CSQ227R13 Applied AI Engineer, Learning Intelligence About the Role We are building the intelligence layer that powers how learners grow. This role sits at the intersection of machine learning, knowledge representation, and product engineering. You will own the skill and concept graph that defines…
Affirm · Remote Canada
Why this is a real AI job: The role explicitly focuses on building, deploying, and maintaining machine learning models for fraud prediction. The description details tasks directly related to ML engineering practices (feature pipelines, model training, productionization, monitoring).
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. On the ML Fraud team, you’ll build and improve machine learning systems that make real-time transaction decisions, protecting…
Twilio · Remote - US
Why this is a real AI job: The role explicitly focuses on building and operating ML systems in production. Responsibilities center around data pipelines, model training, evaluation, inference, and MLOps tooling. The job description heavily emphasizes core AI/ML concepts.
Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work ,…
Airbnb · United States
Why this is a real AI job: The role explicitly focuses on building and shipping machine learning models for personalization, recommendation systems, and intent modeling. It requires deep expertise in ML algorithms and the full ML lifecycle. LLMs are specifically mentioned as a plus and…
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible f…