Top Artificial Intelligence Jobs in Germany

Lead and build Axelera's AI Infrastructure Systems division to deliver datacenter-class hardware from accelerator cards and OAM/UBB modules to 1U/2U racks. Own architecture, schematics, PCB/layout review, power/thermal/mechanical design, BMC/firmware, bring-up, validation, qualification, NPI, and ramp with CMs/ODMs. Align roadmaps with silicon, SDK, and product teams, engage customers and partners, set engineering processes, manage budget and vendor relationships, and mitigate technical risks through hands-on leadership.

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.

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

The AI-First Full-Stack Engineer will lead full-stack development using Node.js and Next.js, integrating AI workflows and orchestrating Claude agent teams for efficient engineering processes, ensuring compliance with healthcare standards.

Support Central Europe Data & Analytics by building consistent KPIs and Power BI reports, analysing leasing, occupancy and financial performance, gathering and modelling data from lakes/warehouses, driving AI tool adoption, supporting systems requirements/testing, and partnering with operations and asset teams to improve NOI, reporting and operational execution.

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

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.

Author and refine a systems-engineering curriculum for experienced engineers: shape syllabus, define learning objectives, produce and fact-check lessons using AI tools, design hands-on projects and rubrics, and iterate with LX designers to meet milestone deliverables over a 4–6 month, ~15–20 hr/week engagement.

Lead applied research and system design for agent-native search: build multi-stage retrieval, ranking, and grounding methods for LLM-driven, iterative agent workflows; deploy high-throughput, low-latency production systems; define evaluation metrics; run experiments and mentor engineers.

Own end-to-end design, build, deploy, and iterate on production AI systems that improve lead quality, reduce refunds, and automate workflows. Ship customer-facing AI features, agentic workflows, retrieval and context layers, reliable event-driven automations, evaluation datasets and monitoring, and reusable components while connecting technical decisions to business KPIs.

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.

Develop a concept and prototype to automatically extract automation network requirements from textual specifications using machine learning and knowledge extraction; define an information model, implement conversion and a UI for editing/auditing, and verify results with real project data.

As a Software Engineering Intern at Reonic, you'll develop product features and AI-powered workflows for renewable energy, working closely with experienced professionals. You'll own projects and see your code go live, contributing to the deployment of renewable energy solutions.

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 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).

Develop and ship features for client projects and in-house products (including mobile AI apps) using TypeScript, React, and Node.js. Work agent-first with AI coding tools, review and harden generated code, debug unfamiliar code, turn loose requirements into working software, and own small end-to-end pieces with senior mentorship.

Coordinate day-to-day production between key accounts and production teams. Break projects into tasks, track progress, flag delays, ensure complete briefs, manage client feedback and approvals, and oversee multiple clients and formats in parallel. Operational role focused on execution with fast turnarounds; on-site presence in Hamburg required three days weekly.

Work directly with the CTO to build and ship fullstack features to production daily. Contribute to a fully agentic system automating the headhunting process end-to-end, live-working from hackerhouses in Latin America alongside a small founding team.

Build and ship production LLM-powered product features, integrate and debug AI workflows, design validation and fallback logic, implement evaluation and quality checks, and support self-hosted and commercial model deployments while improving reliability, latency, and user value.

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.