Top Artificial Intelligence Jobs in Berlin

Design, develop, and operate cloud and on-prem product variants for an AI redaction pipeline. Ensure scalability of compute-intensive workloads, guide cloud architecture decisions, improve cross-team issue visibility, introduce continuous delivery, and steer technical projects through implementation and handover to operations within an agile team.

The Consulting Manager will lead AI transformation programs, work with executives on strategy, drive business growth, represent the company in discussions, and mentor teams.

As a Senior Consultant in Data & AI Strategy, you will advise clients on data-driven strategies, analyze data, manage projects, and develop AI solutions.

As a Senior Frontend Engineer, lead the development of responsive UIs for an AI platform, ensuring code quality and collaborating with teams to enhance features and tools.

As an Enterprise AI Adoption Manager, you will guide companies in adopting AI, manage enterprise accounts, drive AI transformation, and work closely with engineering and product teams to deliver value.

The Senior AI Product Manager will lead cross-functional teams to define, develop, and manage B2B SaaS products, focusing on customer value and market needs, while utilizing Agile methodologies and Generative AI technologies.

Lead the development of large language models for marketing technologies, optimize AI solutions, and mentor junior team members to drive innovation and quality.

The role involves leading AI and computer vision projects from concept to production, optimizing models for edge devices, and integrating with C++ pipelines.

The AI Business Development Specialist will identify business opportunities, build client relationships, and promote AI solutions in various sectors, with a focus on the MENA region.

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

The Senior AI Engineer will design and scale a Phone Assistant product, improving healthcare interactions using AI and NLP. Responsibilities include building LLM systems, validating hypotheses, enhancing evaluation pipelines, and ensuring performance and security for user experiences.

Develop and optimize AI pipelines for workflow intelligence, experiment with models, and collaborate to integrate AI systems into workflows.

Build and scale Jimdo Companion: design agent orchestration, LLM-powered workflows, recommendation engines, APIs and full-stack features; enable AI platform capabilities, collaborate cross-functionally, and drive product-quality AI in production.

Design, build and ship native Android features for an AI-enabled neobank using Kotlin. Implement secure, performant user flows for payments, insurance and financial services, integrate REST APIs, improve app stability and performance, use analytics to iterate, and incorporate on-device AI where it improves the user experience.

Build and ship native Android features in Kotlin for an AI-enabled neobank app. Design clean user flows for payments, insurance and financial services, integrate backend APIs, improve performance and stability, use analytics and on-device ML (TensorFlow Lite) where it adds value.

The AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.

The role involves delivering features across the CRM platform for distributors, using AI tools, handling fullstack development tasks, and collaborating closely with teams and customers.

The AI Engineer will develop and deploy AI applications, collaborate on the end-to-end pipeline, create backend services, and develop frontend interfaces.

Lead enterprise AI transformation by advising customers, designing agentic AI architectures, delivering rapid POCs, integrating CX/CRM systems, building evaluation and automated evaluation pipelines, and scaling responsible AI solutions while mentoring teams and codifying reusable frameworks.

Develop and deploy production-ready generative AI applications using Python, LLMs, RAG, AWS Bedrock, and OpenAI APIs. Responsibilities include model customization, API integration, data preparation, performance tuning, production deployment, documentation, and cross-functional collaboration. The role focuses on applied engineering rather than research and requires experience integrating AI solutions into business applications.

Lead full‑stack development of the Legal AI product: design and implement backend APIs and frontend interfaces, collaborate with product and design, ensure code quality, security and scalability, contribute to technical decisions and engineering culture, and integrate AI tools and agents to enhance product and developer productivity.

Develop and maintain full stack applications, integrate AI capabilities using APIs, and collaborate with stakeholders to enhance workflows.

Build and improve Restream’s web interfaces and user-facing features for the AI Clips team. Design UI and business logic, collaborate with product designers, participate in code reviews, improve system reliability, and evaluate emerging technologies. The role requires strong JavaScript and TypeScript expertise, advanced React knowledge, CSS preprocessor experience, and familiarity with backend development, cloud infrastructure, containers, and continuous deployment.