AI Knowledge Engineer

Quick Facts

• Role: AI Knowledge Engineer
• Location: Warsaw (hybrid: once per week for people in and around Warsaw; once per month for others)

Description

You will build and evolve the AI platform’s knowledge and data layer that powers AI agents across the organization. The focus is on preparing, organizing, and ensuring the quality of knowledge used by AI agents—supporting semantic search and RAG to improve answer quality. This role blends Data Engineering, Knowledge Management, and AI systems.

Responsibilities

• Collaborate with data owners and business experts to identify, prepare, and share knowledge sources used by AI agents
• Align data classification, access permissions, update schedules, and content ownership
• Design and maintain processes to ingest, prepare, and update knowledge, including document ingestion, content extraction, chunking, metadata generation, embeddings, indexing, and deletion of outdated content

Requirements

• Experience in Data Engineering, Information Management, or Data & AI
• Very strong Python and SQL
• Experience building data pipelines and data preparation/quality processes
• Practical experience with Retrieval Augmented Generation (RAG)
• Experience with embeddings, vector databases, semantic search, metadata, and data lineage
• Ability to model business information and map concepts between business domains
• Knowledge of data access control and preparing data for AI systems
• Ability to work with business experts and data owners
• Analytical approach to assessing data quality and retrieval effectiveness

Benefits

• Long-term engagement
• Technical training, certifications, and upskilling
• Mentoring Competence Center community from day one
• Clear career path
• Employee benefits package (Multisport, private medical care, life insurance)
• Friendly work atmosphere, integration events, and team-building meetings