Top Artificial Intelligence Jobs in Berlin

As Engineering Manager, lead the Edge AI team, formulate sprint roadmaps, oversee AI system migration, ensure performance, and foster an engineering culture. Hire and mentor team members while managing stakeholder engagement.

Design, develop, and maintain HR automations and RPA workflows across Workday, ServiceNow, and Microsoft tools. Manage automation projects end-to-end, optimize integrations, ensure security and compliance, document solutions, and collaborate with stakeholders and developers to standardize and scale HR automation.

Lead design, training, and evaluation of LLMs for translation and language-quality tasks; build robust evaluation frameworks; architect agentic multi-model workflows; own model development from data curation to production; run reproducible experiments; collaborate with product and engineering and mentor researchers.

Lead research and analysis of the enterprise AI services market, build market-sizing and forecasting models, publish thought leadership, advise C-level clients, present at events, support sales and peer review, mentor junior analysts, and drive research process improvements to deliver actionable insights on AI services and competitive dynamics.

The HQ AI Enablement Lead will assess AI readiness across departments, develop AI tools, support staff in automation, and create scalable resources to enhance efficiency and productivity.

Design and implement AI-powered UI features for JetBrains IDEs using Compose Multiplatform and Swing. Collaborate with designers, improve UI architecture and component reuse, ensure responsiveness and performance in complex desktop applications, and contribute to UI testing and developer tooling features.

Design and implement next-generation AI-powered features for JetBrains IDEs: integrate and enhance AI agents, build novel IDE capabilities, evaluate performance and reliability, and own end-to-end feature delivery.

Lead design and implementation of AI-native features for PyCharm and Python tooling. Architect integrations (MCP, agents), prototype and ship features, guide engineering decisions, evaluate AI tools/providers, and expose IntelliJ Platform capabilities to AI workflows while collaborating with product, ML, QA, and senior developers.

The Senior Product Manager will own the strategic roadmap, lead market research, manage monetization strategies, and mentor product managers within an AI and EdTech environment.

The Customer Success Manager (SEO) will onboard clients, advise on SEO strategies, review performance, and collaborate with teams to enhance customer enablement.

As an AI Research Engineer focused on AI Safety, you will develop techniques for evaluating AI products, enhance decision-making via uncertainty quantification, and ensure robustness against adversarial attacks.

Design, build, and maintain production-grade GenAI systems and Python-based APIs. Implement end-to-end RAG, vector DBs, multi-agent systems, and secure MCP infrastructure. Optimize LLM integrations (OpenAI, Anthropic), event-driven architectures, and real-time messaging. Collaborate cross-functionally, create and refine prompts, and ensure reliability, scalability, and security in production generative AI solutions.

Own end-to-end product for a slice of Nebius AI compute platform: define strategy, APIs, and roadmaps; drive cross-team delivery; conduct structured discovery; measure adoption and platform outcomes; engage engineering as a technical peer; and close operational feedback loops to improve reliability and customer experience.

The Senior HPC AI Cluster Engineer will design, implement, and maintain large scale HPC/AI clusters, manage scheduling workloads, develop automation tools, and troubleshoot systems while collaborating with various specialists to optimize performance and support R&D activities.

Senior AI/ML Consultant focuses on transforming AI ambitions into production-ready systems, guiding clients through the AI integration process and building operational AI strategies. The role includes leading projects, mentoring junior staff, and contributing to thought leadership in Data & AI.

As a Senior AI Infrastructure Engineer, you will build and optimize training pipelines and inference services for AI models, ensuring robust performance in production environments while collaborating with ML scientists.

Lead Full Stack Engineer owns design-to-production of an AI-first repossession and remarketing platform. Shape architecture, build scalable resilient services, integrate LLMs/GenAI for validation and document processing, drive technical decisions, reduce technical debt, operate production systems, and mentor engineers while working in cross-functional agile teams.

Support Shopify administration and Flow automations, maintain Google Apps Scripts and API integrations, manage access and SaaS subscriptions, configure Recharge subscription flows, and document processes. Use AI tools (Claude, ChatGPT) and n8n to build automations, test end-to-end, and liaise with vendors and internal teams to keep e-commerce systems running smoothly.

The Principal AI Scientist will architect and implement advanced Generative AI models, train and optimize LLM systems, and collaborate across teams to enhance performance in AI applications.

Looking for a Senior AI Research Scientist to finetune LLMs, create conversational workflows, and innovate methods for faster inference.

Lead the product strategy for AI agent testing and observability, ensuring tools for testing agent behavior and quality scoring are user-friendly for non-technical users in B2B environments. Coordinate across multiple teams to deliver integrated solutions.

Join the Jimdo AI team to architect and build the Companion system, integrating AI to assist microbusiness owners in various business tasks and workflows while ensuring system intelligence improvements and architectural scalability.

As a Principal AI Researcher, you will lead AI research projects, mentor teams, and implement innovative AI technologies for Veracode's products.

Lead technical initiatives for Generative AI in logistics, design architecture, implement evaluation pipelines, and mentor engineers.

The role involves developing sophisticated LLM-powered autonomous agents, integrating intelligent services, and ensuring systems' scalability and reliability. Responsibilities include architecting AI modules, leading agile sprints, and monitoring production lifecycle with CI/CD roles.