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ETHjuniors

AI Engineer | Multi-Agent LLM Systems 70-100%

ETHjuniors

Location
Onsite (Zurich, Zurich)
Employment
Full-time
Level
Mid Level
Posted 4 weeks ago

About the Role

ETHjuniors, the student-led consultancy of ETH Zurich, is seeking an AI Engineer to design and build a multi-agent LLM system for automated claim generation. The role involves owning the pipeline from document ingestion to validation, ensuring enterprise-grade scalability and strict compliance with data protection standards.

Skills

AI Engineering Multi-Agent Systems LLM RAG Document Processing Python LangGraph Data Governance GDPR Argument Mining NLP Information Extraction Pydantic JSON Schema Agile Methodology

Full job details

Join a complex project with real ownership from day one!

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 own quality through evaluation frameworks built on reference cases, and share responsibility for data protection, residency, and governance — in this domain, compliance is a design constraint, not an afterthought.

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