Ontology & AI Engineer

Build the bridge between formal knowledge representation and production AI: state resolution, firm logic, agent context, governed tools and evaluation.

Remote (US/EU) Full-time

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What you will do

Responsibilities

Build ontology-assisted retrieval, reasoning and context-assembly systems
Translate competency questions and golden answers into production evaluations
Connect structured knowledge, graph data and institutional systems to decision workflows
Improve document understanding, provenance and evidence-grounded generation

What you bring

Requirements

3+ years in machine learning, knowledge engineering, semantic systems or adjacent work
Strong Python skills and production experience with LLM or graph systems
Working knowledge of semantic-web standards or willingness to learn deeply
Experience with evaluation, retrieval and document understanding

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Apply for Ontology & AI Engineer

Send your background, a short note and an optional resume. The application goes directly to the Penomic hiring team.

Prefer email? Write to contact@penomic.ai.