AI Senior Engineer (Graph)

Able · AI/ML

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Full TimePosted Sep 11, 2026

Source: Jobicy

RemoteJobSearch Check
Specific region

Limited to: LATAM — no hybrid days in this listing.

Not open from Hungary

This role’s source listing does not include Hungary as an eligible location.

Category
AI/ML
Employment type
Full Time
Experience level
Senior

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Pay, compared

72 of 284 AI/ML roles publish a salary

Typical AI/ML role$207,175 / year

Median of published salaries. Full reported spread in this market: $75,000–$351,000, outliers included.

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Original employer: AbleSource ATS: JobicyJob status: Active

Able is seeking a Senior AI Engineer specializing in graph databases to manage and optimize production knowledge graphs for RAG workflows. This is a fully remote role limited to candidates based in Latin America.

The role focuses on architecting graph ETL pipelines, managing high-volume data ingestion via Kafka and CDC, and ensuring data quality through automated hygiene practices. The ideal candidate will take ownership of temporal data modeling and Neo4j performance tuning to support applied-AI initiatives within an AI-native organization.

Why You’ll Love This Role

100% Remote within LATAM
Senior level role
Focus on knowledge graph and RAG systems
Full time employment
Payments in USD

What You’ll Bring

Minimum 4 years of hands-on Neo4j experience
Proficiency in Cypher query language
Strong background in Python
Experience in building ETL and data pipelines
Knowledge of Apache Kafka and Change Data Capture (CDC) patterns
Advanced skills in schema design and entity resolution

What You’ll Get

Benefits not specified in the listing

About the Company

Able is an AI-native organization focused on software development and product engineering. They build and operate applied-AI workflows and knowledge systems for a variety of business partners.

Listing checked for remote eligibility · Posted Sep 11, 2026 · JobicyApply
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