Top Artificial Intelligence Jobs in Berlin

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

Assess and evaluate AI-generated technical content, craft and answer advanced ML/AI questions, identify errors and hallucinations, rank responses by correctness and clarity, and provide precise feedback to improve model performance.

Own acquisition, onboarding, and activation for JetBrains AI. Improve product entry points, trials, demos, and onboarding flows. Lead experiments, analyze funnels and cohorts, remove friction, and partner with design, engineering, analytics, marketing, and monetization to drive activation and conversion.

Serve as the bridge between business units and engineering to discover, translate, and prioritize Data & AI requirements. Run workshops, maintain backlog, prototype with AI and low-code tools, coordinate delivery with PMO and engineers, support rollout and adoption, and ensure responsible AI use and stakeholder alignment.

Build, prototype, and productionize applied AI workflows for construction projects: manage experimentation pipelines, error analysis, evaluation/scoring, dataset curation, and improve ML/data pipelines and monitoring for complex unstructured data sources.

Lead and scale a deep learning team in AdTech to design, deploy, and evaluate transformer-based and generative ranking models, build scalable MLOps and data pipelines, run rigorous A/B experimentation, and align cross-functionally to drive vendor revenue and product impact.

The Chief of Staff will drive company operations, translating strategy into execution, managing financial steering, leading initiatives, and applying AI for operational efficiency directly with the CEO.

Support curatorial projects at the intersection of art and science using AI tools: develop and organise exhibitions/events, lead communications and fundraising, manage stakeholders, teams, budgets, schedules, risks, and deliverables.

Erasmus-eligible intern to design and build AR/VR apps and an interactive website, manage hardware/software, create AI-assisted media and 3D assets, and support onboarding for art-science projects in Berlin or Saint Martin.

Lead design and implementation of a scalable modern data platform and real-time pipelines. Build, optimize, and maintain data models, ETL/ELT pipelines and integrations (Kafka, Spark, Delta Live Tables), enforce data governance and quality, enable AI/ML workflows and MLOps, mentor the team, evaluate new technologies, and collaborate with product and analytics stakeholders to deliver reliable, self-service data products.

Own the AI platform roadmap and build reusable capabilities (prompting, RAG, tool calling, agents, evaluation, observability). Run discovery, prioritize AI investments, partner with Product, Engineering, Design and Data, guide other PMs, define success metrics, and ensure scalable, reliable AI-powered features that deliver customer and business value.

Lead design and delivery of AI-powered features for CLion and C++ workflows. Architect AI integrations and agent tools, prototype and validate debugging, code-understanding, refactoring, and navigation workflows, build benchmarks and evaluation frameworks, and collaborate with product, ML, QA, and engineering teams to set technical direction and roadmap for AI-assisted C++ development.

Design, build, and maintain production-grade AI services and APIs using LLMs and custom models. Develop agentic orchestration, semantic retrieval, and vector search solutions. Implement observability, CI/CD, and scalable distributed systems, write and maintain Python libraries/SDKs, collaborate on architecture and API standards, and mentor engineers.

Lead and execute company-wide AI strategy, coach team leads to meet AI goals, shape the AI stack, prototype solutions, report to C-level, and hire and grow an AI team to deliver measurable business value.

Lead data strategy and build an AI-ready, governed, omni-channel customer data foundation. Deliver self-service analytics, graph-based models, identity resolution, and data governance. Hire and grow the data organization and enable cross-functional adoption of data and AI capabilities.

The VP of Business Development will drive commercial growth in Europe, focusing on strategic opportunities with renewable energy stakeholders and building relationships to enhance market presence.

Lead the Generative AI team at N26, defining AI strategy, architecting solutions, mentoring team members, and collaborating across departments to implement innovative projects.

The Associate Partner will advise C-level executives on AI and Data strategies, lead digital transformations, and develop client relationships in Life Sciences, while driving innovation and overseeing project delivery.

Design, prototype, and deploy end-to-end AI-driven automations using existing LLMs, RAG, vector DBs and orchestration tools (e.g., n8n). Partner with cross-functional teams to prioritize high-ROI opportunities, build modular workflows, establish governance/guardrails, and monitor ROI and reliability. Collaborate with CEO & CTO to align solutions with core infrastructure and enable non-technical teams to use automations.

Own end-to-end feature delivery for an AI-native fullstack product: translate user journeys into specs, implement full-stack features, build Playwright E2E suites, set SLOs and observability (Sentry, OpenTelemetry), manage incidents, design GDPR-aligned EU-only hosting architectures, lead AI-agent workflows and technical decisions, and document architecture (ADRs).

Lead regulatory resilience for AI and operational resilience by implementing EU AI Act and DORA controls. Manage AI model classification, conformity assessments, third-party ICT risk, TLPT and BCP exercises, algorithmic audits, and act as primary regulator liaison to ensure compliance and operational anti-fragility.

Own organic growth and AEO/AIO performance: set roadmap from keyword/prompt research to programmatic systems, reposition Softr across LLMs, lead technical and programmatic SEO, build link/citation and Reddit authority, and partner with Content, Product, and Engineering to report performance and translate algorithm and LLM changes into action.

Own and evolve data and systems infrastructure (Supabase, n8n, HubSpot, external integrations), build and maintain automation pipelines and AI agent orchestration for content production, create simple UI integrations, evaluate and swap modular tools, and partner with leadership on architecture and roadmap.

As a Staff/Senior AI Engineer, you will develop production-ready coding agents and improve AI model capabilities for JetBrains' software development tools. Collaborating with teams, you'll focus on model training, evaluation, and product integration to enhance user experience.

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.