Top Artificial Intelligence Jobs in Berlin

The Account Executive will enhance lead quality, build client relationships, conduct demos, close deals, and monitor market trends in renewable energy.

Reonic invites unsolicited applications from passionate individuals interested in renewable technology to contribute skills and ideas.

Lead strategy and delivery for an engineering AI platform: define adoption outcomes, build measurement frameworks, deliver standardized AI toolsets, run data-driven trials, remove adoption blockers, set code quality guardrails, own compliance and security, and manage a portfolio of AI initiatives while influencing engineering and executive leadership.

As a Voice AI engineer, you will build reliable systems, solve unique Voice AI challenges, and evaluate models for customer impact, taking ownership of projects.

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.

The AI Product Manager will drive the development of AI-powered applications, collaborating with engineering and design teams, conducting market research, and optimizing AI models to align with user needs.

The AI/ML Engineer will develop and optimize machine learning models, work with cross-functional teams, and enhance mobile app features.

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.

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

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

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.

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 Deployed AI Engineer, you'll integrate software into systems, collaborate on customer requirements, and troubleshoot issues while showcasing AI capabilities.

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

Own budgeting, forecasting, financial planning, reporting, accounting preparation, reconciliations, payments, and month-end processes. Build scalable finance systems by connecting data, automating workflows, and applying AI. Partner with teams on financial insights and support international growth involving multiple entities, GAAPs, statutory requirements, and external accounting partners.

Deploy and integrate ICEYE's intelligence platform into secure, often air-gapped environments; build containerized deployments, RAG and LLM-based AI workflows, data-fusion pipelines combining SAR and other intel, and lightweight analyst tools. Work embedded with customers to prototype, train, and iterate solutions while troubleshooting disconnected deployments.

Design and develop scalable production applications for a major automotive leasing marketplace. Build AI-powered engineering tools and workflows, integrate LLM APIs, apply GenAI throughout the software lifecycle, and promote AI-first development practices. Coach engineering teams, establish safe usage standards, run data-informed experiments, and improve engineering productivity, quality, and system maintainability. Experience with performance optimization, caching, and observability is beneficial.

Lead pre-sales technical discovery and serve as the primary architectural authority for enterprise AWS AI/ML, data, and cloud modernization initiatives. Design Bedrock and SageMaker solutions, migration strategies, and modern data platforms; develop AWS cost models, SOWs, proposals, and funding inputs; evaluate risks and compliance requirements; and coordinate technical handoffs with delivery teams. The role partners with account executives, AWS field teams, customers, and internal engineers without carrying a sales quota.

Lead Malt’s Experience Systems & AI function, evolving its design system into an intelligent experience engine. Own the roadmap, UI quality standards, semantic and content rules, design token architecture, code-generation workflows, automated visual QA, and adaptive interface experiments. Manage and mentor design systems specialists while partnering with systems engineers to scale high-quality, accessible, brand-aligned product experiences.

Build, improve, and deploy AI agents and automation workflows for Enpal's energy platform. Convert manual processes to agent-driven flows, debug tool-call issues, collaborate closely with ops and engineers, iterate quickly, and ship reliable, cost-effective agent solutions.

Perform remote, part-time data tasks to improve German AI content, including data collection, evaluation, annotation, pairwise comparisons, counting tasks, and object tagging across audio, video, and images.

Lead architecture and execution of data platforms and LLM-powered products: design and scale data pipelines, integrate and deploy models, define engineering standards (testing, evals, observability, SLOs), mentor engineers, drive cross-functional delivery, and optimize reliability, cost, and product outcomes for enterprise customers.

As a Senior AI Engineer, you will design and deploy LLM-powered and GenAI systems, collaborating with stakeholders and ensuring production readiness.

Build and productionize generative-AI creative pipelines: design node-based automation and AI agents, fine-tune models (LoRAs), generate video/audio/visual assets at scale, integrate models via APIs into DAM/UGC systems, iterate using UA and data insights, and continuously R&D new image/video/audio models and techniques.

Lead early product management and cross-functional execution for new greentech digital products: define value propositions and MVPs, run customer discovery, prioritize features, align stakeholders, coordinate sales/marketing/tech, and drive market launches alongside founders.