About this role

Design and implement the knowledge architecture: taxonomy, content lifecycle, ownership, metadata, provenance, and correct-at-source workflows.
Build reliable ingestion and synchronization pipelines across Notion and approved business systems.
Develop retrieval, search, and context-assembly services for internal AI experiences and production agents.
Establish evaluation for knowledge quality: coverage, freshness, retrieval relevance, groundedness, and failure modes.
Partner with teams migrating and structuring high-value knowledge; make good content practices practical rather than bureaucratic.
Work with Security and Architecture on permissions, PII boundaries, auditability, and governance-by-default.

Strong experience building and operating production data, search, or knowledge systems.
Excellent software engineering fundamentals, ideally in Python and/or TypeScript, APIs, data pipelines, and cloud services.
Experience with information retrieval, semantic search, RAG, knowledge graphs, document processing, or enterprise search.
Strong understanding of data modelling, metadata, lineage/provenance, data quality, and access-control patterns.
Heavy Notion advocate and user.
Practical experience with SQL and modern data tooling; Snowflake, Databricks, Dagster, dbt, AWS, vector databases, and/or graph technologies are strong pluses.
Fluent in English and based in the European time zone (UTC+0 to UTC+2).

Remote-First Model: You can work flexibly from anywhere.
Epic Team Gatherings: Every year, we bring our global crew together for networking and fun.
Growth and Development: Lifelong learning with personal and professional opportunities.
5 Years? 5 Weeks! After five years, you’ll earn five weeks of bonus vacation time.
Birthday Celebrations: Take your birthday off guilt-free.
Flexible Hours: Offer flexible working hours.

AI Engineer – Knowledge

Key skills