You'll design and build the multi-agent system behind automated claim generation and processing — from document ingestion and structured extraction through reasoning, validation, and steps where experts stay in control.
That includes the document pipelines underneath: structure-preserving parsing, clause-level chunking, and hybrid RAG. And the extraction schemas (Pydantic, JSON Schema) that keep results deterministic, and refined continuously with legal and architectural experts, based on argument mining principles.
You'll work in an agile and results-driven environment, taking the product from a working MVP to a scalable enterprise-grade solution, in close collaboration with Legal, Contract Management, Compliance and IT/Security, and coordinating external technology partners.
Requirements
- A completed or advanced degree in Computer Science, Computational Linguistics, AI or a related field — ideally with an NLP and/or argument mining focus
- Hands-on experience building LLM-based systems and taking them into production, not just prototypes
- Solid track record in structured information extraction and working with frontier models
- Good command of modern document processing technologies and methods
- Experience with orchestration frameworks (e.g. LangGraph) and designing multi-agent workflows
- A firm grasp of compliance, data protection and governance in regulated environments (GDPR, revised Swiss FADP, data residency)
- Ability to communicate complex technical concepts clearly and appropriately to different target audiences
- High level of personal accountability, pragmatic execution skills, and readiness to deliver measurable results through short iteration cycles
- Language: English, French and/or German is a plus
Benefits
- Start: ASAP
- Duration: 2-3 months
- Workload: 70-100%
- Salary: Competitive
Learn more about this Employer on their Career Site
