Top Artificial Intelligence Jobs in Germany

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.

Lead and rebuild the Passenger and Driver Care engineering team to deliver support automations and AI-assist features. Ensure sustainable delivery, foster engineer growth and autonomy, collaborate across disciplines, improve processes, and support recruiting, onboarding and retention.

Design and engineer AI systems integrating creativity, data, and automation. Develop GenAI workflows and collaborate in agile teams to enhance WongDoody's AI innovation 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.

Design, develop, integrate and validate ground-segment software for satellite mission and payload management. Define requirements and architecture, implement backend/frontend modules, integrate AI engines, coordinate subcontractors, perform IVV, analyze validation data, and ensure compatibility with system and mission needs.

Lead strategy and roadmap for an internal AI-as-a-Platform, coordinate cross-functional teams to implement AI use cases, ensure AI compliance and governance, support launches of client-facing AI features, and translate business goals into actionable work for Data Scientists and ML/AI Engineers.

Develop, deploy, and optimize Python-based Generative AI and Agentic AI applications. Integrate LLMs, build autonomous agents, create retrieval pipelines/RAG, design prompts, connect models to enterprise APIs, and ensure scalability, testing, and monitoring. Use Elasticsearch and vector databases where applicable.

Contract, part-time remote role to review, analyse, and draft complex fund formation, M&A, finance, technology, and commercial agreements. Annotate LPAs, side letters, SPAs, APAs, DPAs, MSAs, NDAs; assess risks, draft sample clauses, evaluate SaaS/cloud and data privacy contracts, and provide clear, practical feedback to improve AI training materials.

Design and prototype AI-powered applications and end-to-end workflows using Python, LLMs, vector databases, and agentic AI. Combine models, enterprise data, APIs, and HR systems to build scalable solutions, evaluate new technologies, and collaborate with HR, IT, and business stakeholders to translate requirements into measurable outcomes.

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.

Lead end-to-end product vision for AI agent products: translate customer needs into scalable product strategy, collaborate with data scientists and engineers, run discovery with customers, prototype and validate solutions, and drive delivery with high ownership across AdTech and programmatic contexts.

Own end-to-end product vision for AI agent products: translate customer needs into scalable product strategy, run discovery and interviews, prototype and validate solutions, write specs, and collaborate closely with data scientists, engineers, and leadership to deliver production-ready AI/ML features, especially for AdTech and programmatic media use cases.

The Data Engineer role focuses on developing predictive models and enhancing data engineering practices to support business objectives. Responsibilities include writing clean code, model evaluation, and collaboration with a global team to improve reporting and campaign management.

Lead development and execution of AI and automation roadmap for Western Europe Amazon e-commerce. Build AI-driven discovery and recommendation strategies, create automated reports and predictive analytics, drive AI tool adoption, ensure responsible AI governance, and run test-and-learn pilots to scale successful e-commerce AI use cases across Amazon markets.

Lead the design, deployment, and governance of enterprise AI platforms (Copilot, Gemini, Power Platform, Workato). Build secure, scalable integrations, enforce IAM and security controls, collaborate with Security/Legal/Data/Business, mentor engineers, shape AI strategy, and enable responsible AI adoption across the organisation.

Lead strategy and execution for SumUp's AI Assistant in customer support: set roadmap for conversation design, own performance metrics (resolution, escalation, save rates, CSAT), build QA framework, and manage a team of seven analysts while partnering with Product, Engineering, and Operations to drive measurable improvements.

Drive full-cycle sales from lead qualification to closing, focusing on enterprise clients. Advocate for customer success and collaborate on revenue development strategies.

Lead development and execution of ESG products, ensure regulatory compliance, collaborate with UI/UX and engineering, drive data-informed roadmaps, and adapt product strategy to evolving ESG/GRC legislation.

The Account Executive will establish and scale the market presence in Austria, acquiring customers, managing success efforts and owning the full sales cycle.

Lead business development in Life Sciences, drive client acquisition, and develop AI & Data strategies. Mentor teams and foster collaborations across departments.