Top Artificial Intelligence Jobs in Berlin

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.

Produce narrative-driven long-form AI-generated videos end-to-end: concept, prompting, generation, editing, compositing, motion graphics, color correction, and maintaining character/style continuity using emerging AI video tools.

Develop and maintain open-source, silicon-optimized AI/ML inference application packages (Inference Snaps) for Linux/Ubuntu Core. Debug, write high-quality code, review upstream contributions, secure and optimize local inference deployments across embedded devices to gateways, and collaborate with a distributed team and stakeholders.

The role involves providing legal guidance on global privacy and AI issues, collaborating with teams to ensure compliance, and developing scalable processes.

Senior technical lead embedding with customer teams to design, architect, and deliver production-grade AI/ML solutions. Drive model optimization, high-performance training (TPUs), efficient serving (vLLM), MLOps, agentic systems, GDPR-compliant private AI, ROI and cost optimization, pre-sales technical support, mentoring, and external thought leadership.

Partner with EMEA AI/ML teams to drive adoption of Arize's observability platform, manage accounts through onboarding and renewals, run workshops/QBRs, identify upsell opportunities, and coordinate technical resources to ensure customers achieve measurable AI outcomes.

Customer-facing ML/GenAI engineer who advises customers, runs demos and strategic reviews, drives product adoption, partners with sales and engineering, and helps expand accounts by implementing best practices for production ML/LLM systems.

The Backend Engineer designs and develops backend services integrating AI/ML capabilities, focusing on scalability, performance, and API development, while collaborating with frontend teams and maintaining distributed systems.

Develop and support internal AI platform capabilities, drive adoption, manage governance processes, and serve as a senior technical authority for AI initiatives.

As a Senior AI Engineer, you will design and implement process automations, collaborate across teams, and ensure secure delivery of banking solutions using GenAI technology.

Lead and mentor a team of Applied Scientists and AI/ML Engineers to design and deliver production-grade AI solutions across structured CRM and unstructured data. Drive technical strategy for agentic workflows, RAG/vector DB systems, and real-time reasoning. Partner with AI Platform on LLMOps and cloud infrastructure, act as a technical authority, and contribute as a high-impact individual contributor to ship customer-focused AI products.

Assist the Group Product Manager with product initiatives, write structured documentation, maintain competitive analyses, and track initiative progress while collaborating with technical teams.

Design, build, and operate production-grade generative AI systems: multi-agent orchestration, end-to-end RAG pipelines, LLM evaluation and integration, scalable AWS-based AI infrastructure, CI/CD for models, observability, data validation, and evaluation frameworks to ensure quality, attribution, and resilience.

Lead development and integration of ML models and agentic architectures to fully automate supplier search. Build scalable AI agents, RAG/vector search, MLOps pipelines, optimize inference, monitor agents at scale, mentor juniors, and ensure high reliability and cost control.

Lead product vision and roadmap for Agentic IDEs and CLIs, drive developer research and adoption, define success metrics, prioritize data integrations, coordinate GTM and upskilling, and align stakeholders to deliver scalable AI-driven developer workflows.

Own, design, and develop the AI Data Platform: maintain a high-scale data product platform (≈400K pipeline jobs/month, petabyte scale), architect cross-cloud data infrastructure, build and operate automated data pipelines, ensure data observability and quality, and implement AI-driven features and AI data agents to expose AI-ready data products.

The Senior GTM Engineer at Xentral will develop AI-driven workflows, ensure efficient data flows, integrate marketing tools, and create feedback loops to enhance marketing processes.

Manage the GTM AI Engineering team overseeing automation, AI agent strategy, and integration with sales and marketing for revenue growth.

Looking for a Mid/Senior AI Cinematic Video Editor to create narrative-driven video content using AI tools, managing the entire production process from concept to final delivery.

As a Senior Forward Deployed Engineer, you'll deliver AI solutions, engage with customers, and lead project lifecycles, including deployment and integration.

The Senior Developer Relations Manager will drive AI technology adoption by engaging with ISVs and enterprise leaders, provide technical leadership in AI and computer vision, and lead thought leadership discussions for NVIDIA's AI ecosystems.

The Senior Backend Developer will build Ruby on Rails services, research Slack & MS Teams ecosystems, and support continuous improvement within the Workato platform.

Freelance AI Visual Artist experimenting with generative image, video, music, and text tools to produce concept-driven visual outputs. Create moodboards, motion studies, and experiments, document process, and collaborate with creatives and strategists to shape new workflows and campaigns. Must share work and social links.

Auditing and evaluating AI-generated chatbot conversations for quality, following specific guidelines, and using a client platform while ensuring fluent communication in German.

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