[Hiring] AI Senior Engineer (Graph) @Able

Role Description

We are seeking someone who views the Knowledge Graph not just as a database, but as a living organism that requires constant care, feeding, and pruning. You understand that a RAG system is only as good as the data underlying it. You are intrigued by the complexity of ingesting massive, messy datasets and transforming them into clean, connected knowledge.

• Architecting Graph ETL: Designing and developing robust ETL pipelines specifically for graph ingestion. You aren't just dumping rows into tables; you are determining how disparate data sources connect, evolve, and relate in a graph structure.
• Data Ingestion at Scale: Managing high-volume data streams using tools like Kafka and implementing CDC (Change Data Capture) patterns to ensure the graph reflects real-time reality.
• Automated Graph Hygiene: Writing scripts and jobs for deduplication, orphan node detection, and data consistency checks. You take pride in a clean schema.
• Modeling Time: Handling complex temporal relationships (e.g., how property ownership or financial status changes over time) within the graph.
• Performance Tuning: Ensuring that as the graph grows (25k+ reports and beyond), the underlying query performance remains snappy through optimizing indexes and storage.

Qualifications

• Neo4j Expertise (Must Have): 4+ years of hands-on experience. You master Cypher, schema design, and the operational side of managing a production graph.
• ETL & Pipeline Mastery: Strong background in building data pipelines. You know how to take raw data, clean it, and structure it for graph ingestion.
• Streaming & CDC: Familiarity with event streaming platforms like Kafka and Change Data Capture methodologies to sync operational databases with the graph.
• Python Proficiency: Strong Python skills for writing ingestion scripts, maintenance jobs, and custom graph algorithms.
• Data Integrity Focus: Experience implementing automated jobs for entity resolution, deduplication, and quality assurance.

Requirements

• Nice-to-Have:
• C# Knowledge: Ability to read or contribute to C# codebases.
• Domain Experience: Prior work in Finance or Real Estate sectors.

Benefits

• To work 40 hours per week, and be available during normal business hours as needed.
• Payments made in USD.
• 18 days of PTO per year, observance of local holidays, and an annual break between Christmas and New Years.
• A monthly wellness stipend and snack boxes delivered to your home.