Top Artificial Intelligence Jobs in Germany

Join COLIBRIX.ONE as a Manual AI-Assisted QA Engineer focusing on fintech solutions, validating payment and wallet flows through various testing methods while leveraging AI tools for optimization and efficiency.

The role involves analyzing workflows to enhance efficiency through AI tooling, improving documentation, and training AI agents to reduce friction in EPD processes.

Design and maintain the infrastructure for AI applications, enabling secure and efficient access to LLMs while ensuring observability, governance, and collaboration with AI software engineers.

As an AI Platform Engineer, you'll develop and maintain an AI provisioning platform, ensure observability, governance, and collaborate with AI Software Engineers on cloud-native integration and performance monitoring.

Design and implement scalable machine learning systems, collaborate with product teams, and apply MLOps best practices in production environments.

As an AI Product Manager at n8n, you'll develop AI-driven product experiences, coordinate with various teams, and innovate through user-centric design, focusing on AI trust and building.

As a Machine Learning Engineer, you'll develop and improve ML models for geospatial analytics, collaborating with various teams to enhance performance and reliability of ML systems.

As an AI Engineer, you'll design AI services, build NLP and LLM applications, and optimize performance for a global SaaS platform.

As a founding product hire, you'll define the product vision, create user journeys, maintain the product backlog, and conduct user research for a cybersecurity platform.

The Head of People will build and scale the HR function from scratch, designing people strategies, processes, and governance to support growth and culture in a deep-tech environment.

The role involves sourcing and evaluating AI infrastructure founders, supporting them through early stages of investment, and representing the firm with technical expertise.

Lead public affairs strategy in Germany and the EU, engaging with government and regulators on AI, semiconductors, and computing policies. Build relationships, represent the company in policy forums, and develop narratives for public communications.

As a Backend Engineer, you'll enhance the Smart Financial Platform, focusing on robust scalable solutions, APIs, and efficient code delivery while collaborating with cross-functional teams.

The role involves selling IFS Loops, an AI-driven solution, targeting industrial markets, with a focus on consultative sales and driving revenue growth.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

The Chief of Staff will support the CEO in executing company strategy, managing financial operations, applying AI to improve processes, and leading high-impact projects across the organization.

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.

You will design, train, and deploy agents in multi-agent environments, enhancing our reinforcement learning capabilities and integrating cutting-edge AI into production systems.

Manage AI-driven content creation projects, from analysis and requirement gathering to roadmap ownership and stakeholder collaboration, ensuring value realization and adoption across departments.

The CRM Marketing Manager will architect AI-driven user journeys, optimize technical logic in Braze, and collaborate with data engineers to deploy predictive models for enhanced CRM experiences.

The Product Manager will oversee product delivery, integrate AI tools, conduct user research, define success metrics, and coordinate between teams to ensure business success.

The AI / Machine Learning Researcher will conduct applied research, develop prototypes, and work with data to create AI-driven features related to home design.

As Senior AI Engineer, you'll build AI capabilities, implement LLM integrations, automate tax operations, and influence the AI tech stack.

Manage core data protection workstreams, review agreements, advise on AI compliance, and translate regulatory changes into actionable updates for the business.

As a Principal Software Engineer, you'll lead multiple teams in Risk Management, designing cloud-based solutions, mentoring engineers, and driving innovation.