Top Artificial Intelligence Jobs in Berlin

As an Engagement Manager, you'll lead customer success initiatives, drive technical implementations, and manage key account relationships in AI solutions.

As an AI Research Engineer, you will develop signal processing solutions, collaborate across teams, and apply AI in real-world scenarios within defence.

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

Lead product vision and strategy for customer experiences at Lounge by Zalando, focusing on innovation, data-driven decision-making, and team collaboration.

As an AI Product Manager, you'll define and deliver AI solutions, manage complex projects, and bridge customer needs with technical execution, ensuring quality and reliability.

As a Customer Engineer, you will integrate AI voice agents, providing technical support, optimizing performance, and ensuring customer success with our platform.

The Head of Product will lead and scale a customer-driven product organization, own the product roadmap, and ensure product quality and operational efficiency while mentoring team members.

The role involves developing agentic AI systems using LLMs, requiring a blend of backend skills and AI expertise, while collaborating with a high-performance team.

The role involves designing and implementing advanced agentic AI systems using LLMs, integrating data and backend processes, and leading projects in a fast-paced AI lab.

The role involves building AI-powered systems, collaborating with ML engineers and scientists, and contributing to software development while mentoring junior engineers.

The AI Test Architect will profile, benchmark, and optimize deep learning models and training pipelines while focusing on high-performance networking for large-scale supercomputing solutions.

This role involves supporting engineering teams as a DevOps Engineer, focusing on AI/ML capabilities. Responsibilities include managing CI/CD pipelines, overseeing containerization, ensuring cloud security and efficiency, and promoting AI best practices.

As a Solutions Architect, you will drive innovation for NVIDIA customers by providing expertise in Generative AI post-training, especially utilizing LLMs and data processing techniques. Responsibilities include building proof-of-concepts, collaborating with various teams to integrate NVIDIA technology, and guiding customers on tools and methodologies for model alignment and training.

Join the math libraries team focusing on high-performance numerical software for AI and HPC. Collaborate with engineers and manage technical roadmaps while optimizing algorithms for GPU performance.

As a Director AI Engineer, you will design, develop, and operationalize AI architectures, focusing on RAG pipelines and LLM interactions, while ensuring production stability and guiding architectural decisions.

As a Director AI Engineer, you will design and implement complex AI architectures, focusing on RAG pipelines, LLM orchestration, and microservices to optimize AI solutions for enterprise workloads.

The Senior Solutions Architect will work on deploying and optimizing AI workloads on GPU clusters, troubleshoot performance issues, and assist customers with advanced AI training solutions.

Lead a team of Data and AI engineers, develop AI solutions, design cloud infrastructure, and streamline data processes. Collaborate with stakeholders to align AI efforts with business goals.

The Senior Backend Engineer at Speechify will focus on optimizing infrastructure, product flows, and developing robust systems for AI model serving, particularly in TTS technology.

The role focuses on improving AI cluster resiliency through AIOps solutions, automation workflows, and customer engagement for installations and troubleshooting.

Lead the design, development, and deployment of AI software solutions while overseeing API and microservices integration, using Python and modern DevOps practices.

As a Front-End Engineer, you'll design and develop user interfaces for AI solutions, creating reusable components and ensuring performance and accessibility while managing CI/CD pipelines.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

As an AI Engineer, you will drive applied research in LLMs and agentic systems, prototyping and shipping production-ready AI capabilities while collaborating across teams.

As a Senior AI Researcher, you will improve training and inference of foundation models, develop and maintain deep learning models, and collaborate with internal and external partners to drive AI innovations.