Top Artificial Intelligence Jobs in Germany

The AI Solution Engineer will design and implement AI-powered solutions for customers, translating business issues into technical solutions, and collaborating with stakeholders to ensure success.

The role involves training large language models to write production-grade code, comparing snippets, refactoring code, and providing feedback for reinforcement learning processes.

The role involves training large language models to write production-grade code using Java, performing code reviews, refactoring, and providing detailed explanations for coding decisions.

Train large language models to write production-grade code across languages, review and improve AI-generated code, and maintain the RLHF feedback pipeline.

As a Rust Software Engineer, you'll train large language models to generate and refine code, compare snippets, and ensure quality through detailed code reviews.

Design and build simulation environments for robotics research, implement RL algorithms, and evaluate policies for stability and transfer potential. Collaborate with teams and document results.

As a Software Engineer in AI, you will train large language models, rank and review code snippets, and provide feedback for improvements.

Train large language models to write code by reviewing code snippets and providing feedback for improvements. Requires 3+ years of Ruby experience.

As an Account Executive for Agentic AI, you'll cross-sell the Agentic Platform, pursue new customers, and manage the entire sales lifecycle while collaborating across teams and understanding customer needs in-depth.

Lead the deep learning team for AdTech at Delivery Hero, shaping AI strategy, developing models, and optimizing product performance across the platform.

The Technical Product Manager will oversee networking services, manage product backlogs, coordinate cross-company implementations, and ensure performance and security in delivery.

As a Senior AI Researcher, you'll innovate in data-centric AI, conduct rigorous studies on data effects on model performance, and develop novel quality assessment algorithms.

The role involves owning legal and compliance workflows related to AI and e-commerce regulations, focusing on contracts, data protection, and risk assessments.

As a Principal Forward Deployed Engineer, you'll deploy JetBrains Central in enterprise environments, implement AI governance, mentor teams, and advise customers on AI-native development best practices.

As an Applied AI Engineer, you will implement AI solutions at Upvest, connecting tools to internal systems and coaching teams on AI usage.

As a Senior Sales Engineer, you will work closely with the sales team to deliver technical support, create demonstrations, and recommend solutions for clients using NiCE technologies in the DACH and France region.

The role involves designing automation solutions for PMO processes, customizing Jira and Confluence, developing scripts, and supporting users with tooling expertise while collaborating with different teams.

As a Senior AI Platform Engineer, you will architect an AI Engine, design a production-grade Agent Runtime, and ensure reliable AI features for our financial platform.

The Founding Account Executive will manage the full sales cycle, building relationships with technical buyers, closing deals, and collaborating with the CRO to shape pricing strategies and pipeline generation.

The AI Automation Engineer will automate workflows and build internal tools for Sales, Marketing, and Customer Success, streamlining processes and improving efficiency in a fast-paced startup environment.

Lead development of AI/ML systems for real-time applications across various industries. Responsibilities include data analysis, system architecture, developing models, mentoring, and collaborating with engineers.

The role involves evaluating and reviewing AI-generated outputs, ensuring cultural relevance and accuracy, and providing annotations for model improvement.

The VP of Customer Success will scale the CS org, drive product adoption, manage customer health, and ensure retention through effective usage across care facilities.

The AI Operations Specialist at Moss will enhance AI adoption by collaborating with teams to implement AI solutions, automate workflows, and drive operational improvements using various AI tools.

The QA Engineer will perform functional and regression testing, design test cases, reproduce bugs, and communicate with teams, while focusing on AI Assistant features development.