Top Artificial Intelligence Jobs in Berlin

Build and improve Restream’s web interfaces and user-facing features for the AI Clips team. Design UI and business logic, collaborate with product designers, participate in code reviews, improve system reliability, and evaluate emerging technologies. The role requires strong JavaScript and TypeScript expertise, advanced React knowledge, CSS preprocessor experience, and familiarity with backend development, cloud infrastructure, containers, and continuous deployment.

Conduct hardware-aware ML research and engineering to accelerate AI inference. Build fine-tuning and post-training pipelines, benchmarking and profiling tools, and collaborate with hardware, compiler, and quantization teams to optimize model quality, latency, throughput, and power on novel silicon.

Lead design and ownership of shared libraries, Spring Boot starters, and agentic frameworks. Set standards for agent orchestration, evaluations, and guardrails. Mentor teams on Python-based agents (LangChain/LangGraph), drive adoption, prototype research directions, and improve developer experience across Kotlin backend and client libraries.

As an AI Automations Engineer, you will design and build tooling for GTM, Operations, and Finance teams, automating processes and enhancing systems with a focus on AI.

As a Backend Engineer, you'll design and scale backend systems for AI, transforming unstructured data into structured context, and develop high-performance retrieval systems.

Join AutoScout24 as a Software Engineer / AI Enabler to build impactful AI-driven products, coach teams on effective AI usage, and improve software delivery processes.

Join AutoScout24 as a Software Engineer to enhance their technology stack, optimize systems, and integrate GenAI tools into applications, driving efficiency and quality.

The Backend Engineer will design, develop, and maintain backend services with AI/ML capabilities, focusing on scalability, performance, and optimization of APIs and distributed systems.

Provide research and advisory to global CFOs and Controllers on transforming controllership processes (AP, AR, financial close) using AI, automation and finance technologies; produce published research, vendor evaluations, and client-facing presentations; collaborate with analysts and deliver strategic, actionable recommendations to improve financial reporting and automation outcomes.

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.

Lead engineering enablement across eight companies to cascade CTO AI vision into team discipline. Detect and package successful practices, run cross-company diffusion, operate cadence of validation and demos, measure adoption and outcomes, triage deeper needs to PoCs/workshops, and capture reusable artifacts and metrics.

As a Staff/Senior AI Product Engineer, you will build AI-powered product features, enhance the tech stack, and design AI workflows while collaborating with product teams. Your focus will be on agent-native architecture and improving the codebase for AI agents.

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.

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 end-to-end process converting product, marketing, and account signals into qualified sales opportunities. Build qualification criteria, routing rules, data enrichment and automation, partner across product/marketing/sales/analytics, create feedback loops, and measure and optimize funnel conversion and data quality.

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.

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

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.

Define and execute the product roadmap for AI-driven blockchain security monitoring tools. Collaborate with cross-functional teams, analyze market and customer feedback, deliver features on time, and communicate with stakeholders to align expectations and improve product offerings.

Serve as a strategic partner to AI Agents product leadership to align customer insights, product priorities, and cross-functional initiatives. Drive operational excellence by optimizing existing product development programs, improving processes, enabling data-informed decisions, and producing executive-ready recommendations. Coordinate across Product, GTM, Data, and Customer Experience to improve discovery, planning, launches, and customer engagement while measuring impact of improvements.

Own and grow the Data Layer: build and operate ingestion, transformation, reconciliation, and serving pipelines (raw→refined→curated). Use agentic AI tools to accelerate delivery, ensure data correctness, and partner with backend, AI, and product teams to define reliable data contracts.

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.

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.

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.