Job Description

• Help design, build and continuously improve the clients online platform.
  
• Research, suggest and implement new technology solutions following best practices/standards.
  
• Take responsibility for the resiliency and availability of different products.
  
• Be a productive member of the team.
  

Requirements

• AI Engineer responsible for building an AI-driven document analysis platform using LLMs, RAG architectures and multi-agent workflows.
  
• Design provider-agnostic LLM and embedding interfaces.
  
• Develop a complete ingestion pipeline with PDF parsing, OCR fallback, section-aware chunking, metadata tagging, embeddings and vector indexing.
  
• Implement a hybrid semantic-keyword retrieval engine.
  
• Build agents with strict input schemas and structured outputs.
  
• Ensure scalability, explainability and data-residency compliance.
  
• Create evaluation frameworks covering retrieval quality, classification accuracy, citation validity, reasoning and prompt performance.
  
• Hands-on AI experience is mandatory.
  
• Clearly specify AI frameworks, tools and technologies worked with in the CV, particularly LLMs, RAG, AI agents, embeddings, vector databases, prompt engineering and LLM evaluation.
  
• Strong Python, document processing, AI security/governance, technical documentation and SME collaboration skills.
  
• European citizenship is mandatory.
  
  

Benefits

• A challenging, innovating environment.
  
• Opportunities for learning where needed.
  
  
  

Requirements
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