At a Glance
- Tasks: Lead the design and deployment of AI solutions for complex legal document understanding.
- Company: Innovative tech firm revolutionising legal AI in Zug or London.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Join a dynamic team shaping the future of intelligent legal solutions.
- Why this job: Make a real impact on how millions of legal professionals work with AI.
- Qualifications: Experience in AI, NLP, and leading large-scale projects.
The predicted salary is between 80100 - 97900 £ per year.
This position is based in either Zug, Switzerland or London, UK. Want to use your experience of building search-led AI solutions to enhance our leading products in the tax, legal and professional services industries? Document understanding is a foundational intelligence layer that powers every major capability across our legal AI platform—from search and information extraction to agentic reasoning in products.
You'll build state-of-the-art semantic chunking, document enrichment, and knowledge graph construction systems that serve as the cognitive foundation multiple product teams depend on, working across authoritative legal, tax, and accounting content and extraordinarily diverse customer data. This is a rare opportunity to solve publishing-quality research problems with immediate production impact—your innovations will directly shape how millions of legal professionals research, analyze, and reason over complex legal documents while advancing the capabilities that enable the next generation of intelligent legal AI agents.
About the Role:
- Lead the design, build, test, and deployment of end-to-end AI solutions for complex document understanding tasks in the legal domain.
- Direct the execution of large-scale projects including: advanced semantic chunking models for lengthy, non-uniformly structured legal documents with adjustable granularity; document enrichment systems with legal and customer-defined taxonomies; LLM-based knowledge graph construction pipelines that extract and link heterogeneous legal knowledge; and scalable synthetic data generation systems.
- Serve as the technical lead and primary point of reference, ensuring full accountability for all research deliverables.
- Partner with engineering to guarantee well-managed software delivery and reliability at scale across multiple product lines.
Lead Applied Scientist employer: Kadence
At kadence, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our remote work environment empowers Applied AI Engineers to thrive while contributing to cutting-edge software solutions for enterprise customers. With a strong emphasis on employee growth and development, we offer unique opportunities to shape the future of AI technology in a supportive and dynamic setting.
