- Company: Get A Job.ai
- Location: LATAM
- Salary: Pay not listed
- Work type: Remote
Website Get A Job.ai
Represented by Get A Job.ai
About This Opportunity
We are representing a confidential technology organization in their search for an AI Senior Engineer specializing in Graph technologies. This is a 100% remote position open to candidates across LATAM.
Our client is building advanced AI-driven systems where Knowledge Graphs serve as the foundation for powerful RAG (Retrieval-Augmented Generation) implementations. They need someone who understands that a graph database isn't just storage—it's a living structure that requires thoughtful architecture, continuous maintenance, and rigorous data quality practices.
Responsibilities
In this role, you will:
- Design and develop robust ETL pipelines specifically for graph ingestion, determining how disparate data sources connect and relate within a graph structure
- Manage high-volume data streams using tools like Kafka and implement Change Data Capture (CDC) patterns to ensure real-time graph updates
- Write automated scripts and jobs for deduplication, orphan node detection, and data consistency checks to maintain graph hygiene
- Model and handle complex temporal relationships within the graph (such as how ownership or status changes over time)
- Optimize indexes, storage, and query performance as the graph scales to 25,000+ records and beyond
- Transform massive, messy datasets into clean, connected knowledge that powers AI systems
What We're Looking For
Required qualifications:
- 4+ years of hands-on Neo4j experience with mastery of Cypher, schema design, and production graph operations
- Strong background building data pipelines and ETL processes, with expertise in data cleaning and structuring for graph ingestion
- Familiarity with event streaming platforms like Kafka and Change Data Capture methodologies
- Strong Python skills for writing ingestion scripts, maintenance jobs, and custom graph algorithms
- Demonstrated experience implementing automated jobs for entity resolution, deduplication, and quality assurance
- Strong verbal and written communication skills in English
- Passion for collaboration and building inclusive team relationships
Nice to have:
- C# knowledge or ability to contribute to C# codebases
- Prior experience in Finance or Real Estate sectors
How We Work With You
When you apply through Get A Job.ai, our talent team will review your qualifications and conduct an initial screening. If there's a strong match, we'll submit your profile to our client for consideration. Please do not contact the client directly—all communication and coordination will flow through our recruiting team to ensure the best experience for everyone involved.
This role offers 40 hours per week with availability during normal business hours, 18 days of PTO per year plus local holidays and an annual break between Christmas and New Years, wellness and remote stipends, and an AI learning voucher. Payments are made in USD.
Pay
Compensation details will be discussed during the screening process based on experience and qualifications.
Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome applications from all qualified candidates regardless of race, color, religion, gender, gender identity, sexual orientation, national origin, disability, or veteran status.
Apply with Get A Job.ai
A recruiter will review your profile and submit you to the client. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you.
Local insights for this role are preparing — this section updates automatically in a few seconds (or refresh).
Listing facts
- Role AI Senior Engineer (Graph)
- Employer Get A Job.ai
- Location LATAM · Remote-friendly
- Type Full Time
- Pay (from listing) Pay not listed
- Posted September 11, 2026
- Apply by October 11, 2026
- Overview Full job description on this page (459 words)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
Typical work in AI engineer
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- Assign or schedule tasks to meet work priorities and goals.
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- Design computers and the software that runs them.
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