Top Artificial Intelligence Jobs in Germany

Lead end-to-end architecture and integration of battery insights algorithms into production embedded systems. Define modular architectures, drive algorithm development (signal processing, ML, modeling), translate algorithms to real-time software, guide cross-functional teams, mitigate risks, and mentor engineers to ensure scalable, maintainable, production-ready BMS solutions.

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.

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.

Serve as first-line technical customer success for self-serve users, resolve inbound tickets, triage bugs, monitor usage to prevent churn, surface recurring friction to product/growth, reproduce and document issues, and help build in-product help to reduce support volume.

Provide hands-on customer success and technical support for AI legal SaaS users in the DACH region: respond to inbound tickets, triage and reproduce issues, monitor usage to prevent churn, surface product insights, and improve self-serve help to drive adoption of the Legal AI Suite.

Lead end-to-end product design for an agentic incident-management platform: design human-AI collaboration patterns, simplify interfaces for crisis triage, create data visualizations and mobile-first experiences, evolve the design system, and deliver Figma prototypes from research to production.

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.

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 and scale an existing AI and automation programme across finance: set strategy, redesign processes for agent-first operation, deliver measurable impact, build and ship agents or integrations, manage a small team, and roll solutions across five markets while reporting to the Group CFO.

Lead end-to-end ML product roadmaps and initiatives (e.g., Attachment Matcher, Transaction Categorizer). Collaborate with data scientists, engineers, and stakeholders to define, deliver, and monitor ML solutions that drive measurable business value for SMEs across Qonto's platform.

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

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.

As a Founders Associate Intern, you'll collaborate with co-founders on digital SaaS products, analyze performance data, and enhance team alignment.

Provide EU-focused counsel on AI and privacy regulation (EU AI Act, GDPR, DSA); draft policies, DPA and contractual terms; translate legal requirements into technical and operational controls; advise product, engineering, and go-to-market teams; liaise with regulators and manage compliance programs and risk assessments.

Lead research and development of AI accelerator/NPU IPs for embedded products. Architect RTL and hardware to meet power/performance/area targets, collaborate with compiler and software teams, model systems, and mentor cross-functional teams toward chip tape-out.

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 frontend development for a SvelteKit-based legal AI product: own product surfaces end-to-end, consolidate a component library, improve type safety and performance, build real-time human-AI UX (streaming, citations, source attribution), and mentor the team.

Build and maintain full-stack features for an LLM-powered legal AI product. Work across backend APIs and frontend interfaces, integrate AI tools/agents, ensure security and scalability, collaborate with product and design, and shape technical architecture and engineering culture.

Develop and benchmark 3D computer vision and localisation systems (SLAM, visual odometry, scene matching, geo-registration, 3D reconstruction). Extend geometric deep learning and feature-matching methods, design experiments and benchmarks, adapt models to hardware constraints, and collaborate with research, engineering, and product teams to deploy robust AI solutions.

Design, build, and maintain automated test suites, evaluation scenarios, metrics, and datasets for AI-powered features. Automate QA workflows with Python and CI/CD, test APIs and ML model outputs, define quality strategy and acceptance criteria, create CI/CD quality gates, mentor teams, participate in code reviews, and document findings.

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.

As an AI Operations & Automation Specialist, you will optimize finance and HR operations through automation, AI implementation, and process improvement while ensuring data integrity and supporting various teams in the company.

Lead full-cycle hiring for Go-to-Market roles (SDRs, AEs, Sales Managers), proactively source commercial talent, partner with founders and hiring managers, build scalable pipelines, and improve recruiting processes to drive growth across Europe. On-site role in Berlin.

Lead and optimize cross-channel performance marketing across multiple European markets and brands, using AI and generative AI to automate and scale paid social, display retargeting, feed-based campaigns, conversion tracking and data-driven optimisations. Analyse performance, produce actionable recommendations, and collaborate with international teams to improve ROAS and other key metrics.

Provide hands-on deployment, debugging, benchmarking, and optimization of large-scale AI training and inference workloads on NVIDIA GPU clusters. Work with customers and internal teams to identify bottlenecks, improve efficiency, and scale workloads reliably while contributing to resilience features for sovereign AI initiatives across Europe.