Top Artificial Intelligence Jobs in Germany

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

The Principal AI Scientist will develop customized LLM solutions, enhance existing models, and incorporate new AI techniques. Required to collaborate with teams and optimize performance for generative AI applications.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

The AI Engineer will develop and improve AI-driven features and systems, focusing on LLM integration, backend development, and security best practices while collaborating with teams to enhance legal workflows.

Develop and maintain AI and ML algorithms, create data pipelines, collaborate with cross-functional teams, and implement solutions for business requirements.

Lead a developer technology team for AI, providing guidance on multi-modal large language models and local PC deployment, while driving the Enterprise AI strategy.

The Legal Operations Manager will enhance legal efficiency by optimizing workflows, implementing technology, managing projects, and overseeing budgets and vendors.

As a Senior AI Engineer, you will develop AI-driven product features using LLMs, optimize backend systems, and ensure security and quality standards.

Lead AI and machine learning architecture, mentor teams, drive innovation, and evaluate tools for AI systems development across global teams.

The Sales Specialist is responsible for driving new customer growth for Workday HiredScore by developing strategies with account executives, managing relationships, and maintaining sales pipelines across existing and new accounts.

Manage the AI orchestration platform, integrating AI capabilities into enterprise applications, ensuring compliance, governance, and technical excellence while leading cross-functional technical initiatives.

As a Software Engineer, you will help train large-language models in code evaluation and training, focusing on Ruby, with an emphasis on code review and improvement.

Train large-language models to improve code quality by comparing snippets, providing feedback, and refining AI-generated code. Requires strong communication skills and attention to detail.

Responsible for training large-language models by reviewing, ranking, and improving AI-generated code. Requires strong software engineering skills.

The Ecosystem Growth Manager will drive the onboarding of GPU providers, AI builders, and strategic enterprise partnerships to enhance the AIVM ecosystem, addressing Web3 challenges and establishing a decentralized infrastructure.

As a Senior Forward Deployed Engineer, you'll deliver AI solutions, engage with customers, and lead project lifecycles, including deployment and integration.

As a Continuous Improvement Manager, you'll analyze operations, drive implementation of AI-powered improvements, and build strong relationships with customers while ensuring measurable outcomes and efficiencies.

The Engineering Manager - AI will lead a collaborative team, manage software engineering projects, and focus on building a user-centric deliverable while ensuring high quality and performance in AI-based applications.

Design and implement the user experience for an AI-powered Anti-Money-Laundering platform, focusing on intuitive interfaces, workflow automation, and collaboration with product and engineering teams.

The role involves designing and implementing AI solutions for semiconductor applications, developing multi-agent systems, and collaborating with cross-functional teams for seamless deployment.

This role involves driving AI, Data, and Digital sales in the financial services sector, focusing on complex enterprise deals and relationship management.

Design and build high-performance backend systems for financial applications. Collaborate with teams to create scalable architectures and implement AI-driven features.

Translate legal expertise into AI-powered workflows and Libra Assistants by partnering with Product, Engineering, Sales, and clients to design, implement, and optimize solutions. Support pilots, enable customers, create training content, and provide product feedback to improve accuracy and adoption.