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Enterprise Knowledge Engineer · RAG & Knowledge Foundations

It converts scattered documents into governed, recoverable and verifiable knowledge.

The opportunity

Make an agent know what source you can use and why.

We are looking for a person capable of transforming scattered documentation into a governed Knowledge Foundation. The job combines information architecture, retrieval, metadata, permissions, evaluation and conversation with people who know the business.

Area
Systems of knowledge
Experience
3+ years
Modality
Remote
Collaborating
By Project or Recurring

What are we looking for?

  • Experience with intake pipelines, cleaning, classification and documentary synchronization.
  • Knowledge of embeddings, vector search, hybrid search, reranking, chunking and filters by metadata.
  • Criteria for preserving citations, provenance, validity, versions and access permits.
  • Experience with RAG and feedback assessment, not just response generation.
  • Ability to identify duplicates, contradictions and absence of an authorized source.
  • Sensitivity towards confidential data, minimization and access control.

What are you gonna do?

  • Invent sources and interview the people responsible.
  • Define which document has authority for each type of response.
  • Design taxonomies, metadata, policies of validity and exclusion rules.
  • Build and test recovery pipelines with real cases.
  • Measure coverage, accuracy, citation and quality of the response recovered.
  • Implement filters that respect permissions and purposes.
  • Prepare processes for updating and removing obsolete content.

It will impress us especially.

  • A case in which you have improved the quality by correcting the documentary base instead of extending the prompt.
  • Experience with large repositories, SharePoint, Drive, Notion, wikis, databases or enterprise document systems.
  • Knowledge of information architecture, management memories or business search.

What will you find?

Projects where knowledge is treated as an asset with managers, not as a folder that connects whole. You will work with consulting, engineering and client teams so that agents respond with evidence and know how to recognize gaps.

How to introduce yourself

Attach your CV and, if you want, a single link to an architecture, article or case that shows how you have worked with recovery or business knowledge.

Talent

Enterprise Knowledge Engineer · RAG & Knowledge Foundations

This is the way to submit a candidacy or propose a professional collaboration. All fields are optional. Project and service inquiries are managed at hello@karmina.ai.

jobs@agenciakarmina.com