Top Artificial Intelligence Jobs in Germany

Lead a small solutions-engineering team to prototype and demo computer-vision AI solutions, build customer-specific proofs of concept, handle customer inquiries via ticketing/email, and improve team efficiency through documentation and resources.

Design, develop, and operate cloud and on-prem product variants for an AI redaction pipeline. Ensure scalability of compute-intensive workloads, guide cloud architecture decisions, improve cross-team issue visibility, introduce continuous delivery, and steer technical projects through implementation and handover to operations within an agile team.

Design and ship production generative AI systems and multi-agent solutions for enterprise clients. Build LLM and RAG pipelines, vector search, and AI-driven automations integrated into cloud-native SaaS architectures. Collaborate with product, engineering, and leadership; advise clients on AI strategy and deployment, focusing on security, scalability, and measurable business outcomes.

Develop and optimize large neural-network tabular models in Python. Profile training and inference pipelines, improve memory efficiency, latency, and throughput. Implement performance-critical components in Rust (and optionally C++), ensure numerical stability and reproducibility, collaborate with researchers to productionize capabilities, and maintain tests and documentation.

The Consulting Manager will lead AI transformation programs, work with executives on strategy, drive business growth, represent the company in discussions, and mentor teams.

As a Senior Consultant in Data & AI Strategy, you will advise clients on data-driven strategies, analyze data, manage projects, and develop AI solutions.

As a Senior Frontend Engineer, lead the development of responsive UIs for an AI platform, ensuring code quality and collaborating with teams to enhance features and tools.

As an Enterprise AI Adoption Manager, you will guide companies in adopting AI, manage enterprise accounts, drive AI transformation, and work closely with engineering and product teams to deliver value.

The Senior AI Product Manager will lead cross-functional teams to define, develop, and manage B2B SaaS products, focusing on customer value and market needs, while utilizing Agile methodologies and Generative AI technologies.

Ship real open-source integrations and MCP servers to bring SearchApi to agent and automation frameworks. Create PRs, example apps, docs, and integration guides. Stay current with the agent ecosystem, pick high-leverage targets, and work independently to deliver production-ready integrations.

The role involves evaluating AI outputs, correcting texts, analyzing multimedia, and providing culturally relevant content while adhering to guidelines.

The role involves leading AI-driven research in semantic analysis and reasoning flows, developing algorithms, supervising researchers, and contributing to course development in AI and related fields.

The position involves foundational AI research on semantic structure extraction and personalized content generation, along with teaching responsibilities in related fields at various educational levels.

Lead the development of large language models for marketing technologies, optimize AI solutions, and mentor junior team members to drive innovation and quality.

The role involves leading AI and computer vision projects from concept to production, optimizing models for edge devices, and integrating with C++ pipelines.

The AI Business Development Specialist will identify business opportunities, build client relationships, and promote AI solutions in various sectors, with a focus on the MENA region.

Lead AI and machine learning architecture, mentor teams, drive innovation, and evaluate tools for AI systems development across global teams.

The Senior AI Engineer will design and scale a Phone Assistant product, improving healthcare interactions using AI and NLP. Responsibilities include building LLM systems, validating hypotheses, enhancing evaluation pipelines, and ensuring performance and security for user experiences.

This role involves developing and implementing data, AI, and technology strategies for clients, assessing current tech landscapes, facilitating technology integration, and quantifying business impacts of tech investments.

Lead Embedded AI efforts: benchmark and prototype proofs-of-concept, develop tools/methods, support hardware/AI SoC selection, optimize real-time implementations on DSPs/accelerators, and coordinate with algorithm and system teams for ADAS/AD features.

Lead development of LLM-powered legal AI features: implement chat interfaces and backend integrations, build and optimize RAG and retrieval pipelines, design agent orchestration, create evaluation/benchmarking and monitoring infrastructure, and enforce security and privacy while collaborating with Product and Legal Engineering.

Lead full‑stack development of the Legal AI product: design and implement backend APIs and frontend interfaces, collaborate with product and design, ensure code quality, security and scalability, contribute to technical decisions and engineering culture, and integrate AI tools and agents to enhance product and developer productivity.

Lead architecture and build an automation and AI-native toolchain (fusing traditional automation with agentic workflows), mentor teams, drive cross-department adoption, standardize practices, and evolve IT operations toward infrastructure-as-code and platform-first models.

Lead customer-facing data science and AI projects for commodity markets: identify high-impact opportunities, prototype and deploy ML/AI solutions (including LLMs and agentic approaches), measure business impact, collaborate with product, engineering and domain experts, and share learnings to shape ICIS data and AI products.

As an AI Enablement Engineer, you will build AI infrastructure, educate teams, establish governance standards, and oversee AI adoption across voize, driving impactful AI integration into workflows.