AI Senior Engineer - Graph

Neo4j Expertise (Must Have):

, 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.

Familiarity with event streaming platforms like

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

specifically for graph ingestion.

Over the past several years, Able has grown immeasurably. We’ve also grown in the type of company that we are:

Chapter 1:

We were founded in 2013 as a product and engineering hub for a portfolio of early-stage start-ups. We grew up as an in-house/external hybrid shared services model. That allowed us to hone our skills and establish our operational and cultural foundation.

Chapter 2:

In 2019 we began to expand our vision. We began to grow outside of our inset partner base. We had good initial success meeting new partners, kicking off new relationships, and delivering high-value work.