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Netherlands
1 day ago
Remote AI Engineer - Knowledge (m/f/d) logo

Remote AI Engineer - Knowledge (m/f/d)

RoomPriceGenie

Netherlands
1 day ago
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Remote AI Engineer - Knowledge (m/f/d)

RoomPriceGenie is hiring a Remote AI Engineer (Knowledge) to build the company's knowledge layer, including information architecture, retrieval, and data quality. The role involves working with Notion, Python/TypeScript, and modern data tools like Snowflake, Databricks, Dagster, dbt, and AWS. Candidates should have strong experience in production data or search systems and be based in Europe.

AIRemoteFull-timeEntry LevelPythonTypeScript

Remote AI Engineer - Knowledge (m/f/d)

RoomPriceGenie is hiring a Remote AI Engineer (Knowledge) to build the company's knowledge layer, including information architecture, retrieval, and data quality. The role involves working with Notion, Python/TypeScript, and modern data tools like Snowflake, Databricks, Dagster, dbt, and AWS. Candidates should have strong experience in production data or search systems and be based in Europe.

Apply
AIRemoteFull-timeEntry LevelPython

Salary

Not specified

Work Location

Netherlands, NL

Work Model

Remote within Europe

Employment Type

Full-time

Experience Level

Not Applicable

Core Qualifications

Technical (Must-have)
PythonTypeScriptAPIsData PipelinesCloud ServicesInformation RetrievalSemantic SearchRAGKnowledge GraphsDocument ProcessingEnterprise SearchData ModellingMetadataData QualityAccess Control
Soft Skills
PragmaticSound JudgmentComfortable with AmbiguityCares about Trust

Preferred Qualifications

Technical (Nice-to-have)
SnowflakeDatabricksDagsterdbtAWSVector DatabasesGraph TechnologiesSQL

Key Responsibilities

  • •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.
  • •Build reusable components, documentation, and templates that allow departments to self-serve safely.
  • •Work with Security and Architecture on permissions, PII boundaries, auditability, and governance-by-default.
  • •Remain hands-on: write production code, review designs, diagnose data-quality issues, and improve operational reliability.
AI EngineerKnowledgeRemoteEuropePythonTypeScriptNotionRAGData PipelinesSnowflake
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