Top Artificial Intelligence Jobs in Berlin

The Principal Fullstack Engineer will lead technical direction, improve learner experiences, and mentor senior engineers while overseeing customer-facing systems.

Design and implement agentic tools, translating product needs to production, scale prototypes, improve semantic search, build evaluation pipelines.

The AI Engineer will design and develop AI features for an educational platform, driving technical decisions and collaborating cross-functionally to enhance student learning experiences.

Design and develop Generative AI applications, building scalable full-stack solutions, managing various libraries, and collaborating across teams to enhance AI user experiences.

As an AI Research Engineer at Helsing, you'll architect and enhance deep learning frameworks, optimize infrastructure for distributed training, and develop strategies for large datasets while collaborating with a cross-functional team.

As an AI Operations Intern, you will support onboarding, manage customer journeys, enhance internal processes, and collaborate with teams to improve AI products.

You will build and maintain backend services in Java using Spring Boot, design AI tools, and ensure system performance while collaborating with teams to integrate AI technologies.

As a Research Engineer, you will develop evaluation tools for AI coding agents, analyze failures, and improve Kotlin code generation techniques. You'll also build public benchmarks for agent performance and maintain evaluation infrastructure.

The role involves designing AI solutions, managing tools, and advising leadership on AI trends, ensuring data readiness and compliance while driving business impact and ROI.

The AI Architect will design and build AI/ML solutions for testing platforms, focusing on architecture, insights from analytics, automated failure analysis, and collaboration with engineering teams.

The intern will design automations for lead management, conduct market research, support event planning, and assist expansion strategies in a fintech environment.

Design and develop intelligent conversational systems using ML and NLP, create adaptive workflows, and mentor team members while driving innovation in recruiting technologies.

The AI Support & Knowledge Manager will optimize AI performance, manage support content, design conversation flows, create automations, and oversee AI support KPIs.

As a DevTooling Engineer, you'll enhance developer tools for the Polkadot ecosystem, prototype Web3 apps, and support internal/external developers.

The Staff Product Engineer will build AI-powered products, collaborate with ML scientists, and ensure successful production deployment. Responsibilities include software development, mentorship, and enhancing technical standards.

As a Senior Product Engineer in the AI Group, you will build systems for AI products, collaborate with ML scientists, and contribute to software development phases, while mentoring others and ensuring high technical standards.

The VP Analyst will provide insights on AI and application services to C-level clients, conduct research, develop content, and deliver strategic advisory sessions. They will leverage broad industry experience and technical knowledge in AI technologies and application stacks.

Lead the end-to-end delivery of features, integrate AI tools into the workflow, and collaborate with stakeholders to solve user problems.

As an Industry AI Sales Specialist at HPE, you will develop sales strategies for AI and HPC, engage with IT decision-makers, and guide customer decision-making while achieving sales quotas.

As Head of Product - AI, you will define AI as the core of our platform, lead product managers, and shape the user experience for buyers and sellers.

As Head of Product, you will shape the product organization, own the roadmap, scale the team, and ensure customer satisfaction through optimized processes and product quality.

Lead AI transformation initiatives in procurement, creating impactful research, developing strategies, and advising clients on AI integration and analytics for business outcomes.

As a Senior AI Infrastructure Engineer at Sword Health, you will optimize and maintain AI model infrastructure, deploy real-time AI agents, and scale GPU clusters, ensuring efficiency and performance for healthcare solutions.

The engineer will build automation frameworks for Databricks, integrate AI capabilities, and develop deployment workflows in AWS.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.