OUR OFFER FOR YOU

You will join our AI Team led by Felix (Head of AI), working closely with a group of approximately 5 AI experts. This highly collaborative team focuses on pushing the boundaries of generative AI, natural language processing, and privacy-preserving machine learning legal solutions.

ABOUT US

Noxtua is Europe’s leading sovereign Legal AI. The legally compliant and competent AI helps legal professionals to research legal issues and review, and draft legal documents. The GDPR-compliant Legal AI meets the high professional and data protection requirements for lawyers (§ 203 Penal Code, § 43e Federal Lawyers’ Act) and is certified according to ISO 27001, 9001, 27018, 27017, 42001, and BSI C5. The product version Beck-Noxtua is based on the exclusive data of Germany’s leading legal publisher C.H.Beck and Germany’s largest business law firm CMS.
Emerging from a 2017 research project by Dr. Leif-Nissen Lundbæk and Professor Dr. Michael Huth at Oxford University and Imperial College London, the Berlin-based Legal-Tech company, formerly known as Xayn, boasts extensive experience in developing highly efficient GDPR-compliant AI solutions. Strategic partners, including Germany’s leading legal publisher C.H.Beck, the High-Performance Computing specialist Northern Data, Germany’s largest business law firm and co-initiator of the Legal AI Noxtua CMS, as well as the world’s largest law firm Dentons, have invested a total of € 80.7 million in the German startup as part of its Series B funding round.
We explicitly encourage women to apply, as they are currently underrepresented. Our goal is to build a diverse and inclusive work environment that values different perspectives. Of course, we welcome applications from all qualified individuals – regardless of gender, ethnic origin, religion, disability, age, or sexual identity.

• Develop and deploy scalable machine learning systems, focusing on privacy-preserving AI
• Build and optimize NLP applications using transformer models like BERT, GPT, and RAG
• Create workflows using agentic frameworks for automated context-aware decision making
• Optimize models for resource efficiency using techniques like quantization, pruning and distillation.
• Using open-source ML frameworks (e.g., TensorFlow, PyTorch)
• Develop AI pipelines, including retrieval-augmented generation systems
• Conduct benchmarking and evaluation of large language models (LLMs)
• Work with vector databases and manage data processing pipelines