Able
AI Senior Engineer (Graph)
Salary not disclosed4+ yearsRemote
- Engineering
- Full time
- Yesterday
Newly posted
About the role
Able is seeking an AI Senior Engineer to manage and evolve their Knowledge Graph systems. You will be responsible for architecting graph ETL pipelines, managing high-volume data ingestion, and ensuring data integrity through automated hygiene processes. This role focuses on transforming complex, messy datasets into clean, connected knowledge to support advanced AI and RAG systems.
Responsibilities
- Architecting Graph ETL pipelines for graph ingestion.
- Managing high-volume data streams using Kafka and CDC patterns.
- Writing scripts for automated graph hygiene, deduplication, and data consistency.
- Modeling complex temporal relationships within the graph.
- Optimizing query performance and storage for large-scale graph data.
Required skills
- Neo4j
- Cypher
- Schema design
- ETL
- Data pipelines
- Kafka
- Change Data Capture
- Python
- Data integrity
- Entity resolution
- English
Nice to have
- C#
- Finance domain
- Real Estate domain
Benefits
- 18 days of PTO
- Wellness stipend
- Remote stipend
- AI Voucher
About the Company
Able builds technology products in a portfolio model, focusing on bringing great people together and investing in their growth. They work across various industries including media, finance, toys, and healthcare, leveraging technology to drive value.