Top Artificial Intelligence Jobs in Germany

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

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 Senior Software Engineer will focus on Machine Learning model development, data management, model deployment, and staying updated on NLP advancements.

The HR Process & HRIS Specialist will enhance HR operations by automating processes, ensuring data quality, and implementing AI solutions while collaborating with various stakeholders to drive digital transformation.

Lead the design and implementation of AI-native recommendation pipelines, translate research into production-ready code, and mentor junior team members in a high-concurrency environment.

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.

As an AI Deployment Engineer, you will work with startups to optimize AI workflows, prototype solutions, and improve model quality through collaboration with research and product 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 Product Manager will oversee product delivery, integrate AI tools, conduct user research, define success metrics, and coordinate between teams to ensure business success.

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

As an Engineering Manager of the AI Platform, you will lead the strategy and execution of AI-powered features, manage team performance, drive high-impact projects, and build partnerships with stakeholders.

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.

As a Data & AI Consultant, you will drive the business through project proposals, tech implementations, and client consulting while supporting team development and acting as a thought leader in the field.

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

As a Principal Full Stack Engineer, lead the development of the GenAI platform, design full-stack applications, and mentor engineers. Build scalable systems for AI agents affecting key industries, ensuring security and reliability.

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

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

As a Senior AI Engineer, you will develop AI agents, integrate features into a web app, enhance matching systems, and collaborate across teams to deliver ML solutions.

As an AI Engineer, you will enable teams to effectively adopt AI by refining use cases, promoting reusable solutions, and guiding technical decisions to ensure responsible usage and cost management.

As an AI Adoption Engineer, you'll drive AI implementation for clients by scoping use cases, building solutions, and ensuring customer success through hands-on support and technical expertise.

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

The role prioritizes driving Data & AI projects, developing tailored offerings, managing implementations, and supporting talent development as a thought leader in the field.

The Applied AI Engineer will implement AI tools, enhance workflows, and provide in-house consulting to optimize team usage of AI at Upvest, adhering to compliance and business outcomes.

As a Senior AI Engineer, you'll develop AI-driven product features leveraging LLMs, build backend systems with FastAPI, and optimize AI integrations for legal workflows.