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A

Senior AI Engineer, Graph

Able

AI Senior Engineer working on architecting ETL pipelines for graph ingestion. Collaborating within a remote LATAM team to improve graph performance.

Posted 5/4/2026full-timeRemote • 🇱🇻 LatviaSeniorWebsite

Tech Stack

Tools & technologies
ETLKafkaNeo4jPython

About the role

Key responsibilities & impact
  • Architecting Graph ETL and developing robust ETL pipelines for graph ingestion
  • Managing high-volume data streams using tools like Kafka
  • Writing scripts for deduplication and data consistency checks
  • Handling complex temporal relationships within the graph
  • Performance tuning to optimize query performance as the graph grows

Requirements

What you’ll need
  • 4+ years of hands-on experience in Neo4j
  • Mastery of Cypher, schema design, and operations in production graph
  • Strong background in building data pipelines
  • Familiarity with event streaming platforms like Kafka
  • Strong Python skills for writing ingestion scripts
  • Experience with entity resolution, deduplication, and quality assurance

Benefits

Comp & perks
  • 18 days of PTO per year, observance of local holidays
  • An annual break between Christmas and New Years
  • A monthly wellness stipend and snack boxes delivered to your home

ATS Keywords

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Hard Skills & Tools
Graph ETLETL pipelinesNeo4jCypherschema designdata pipelinesPythondeduplicationentity resolutionquality assurance