Founding Backend Engineer, AI Data Systems

Dover; New York (NY); Presencial; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

Mason is building AI systems to transform the way large enterprises manage decades of knowledge. You will design and build backend pipelines that ingest, organize, connect, and retrieve enterprise information so AI agents can act on trusted context.

You will own production pipelines and processing infrastructure with emphasis on data modeling, reconciliation, retrieval, and context quality, collaborating with the CTO and infra engineers.

Formación

• Four+ years of engineering experience with ownership of production backend systems.
• Strong programming and SQL skills; depth in system design and data modeling.
• Experience building pipelines that adapt to changing sources, schemas, and volumes.
• Ability to work with messy data and resolve non-happy-path issues.
• Systems and algorithmic intuition, including tradeoffs around scale, correctness, and cost.
• Ability to test approaches on real data, measure limitations, and turn experiments into dependable systems.
• High ownership, high agency, and curiosity about data work improving the downstream product.
• Experience with document processing, information retrieval, knowledge graphs, or LLM context systems is a strong plus.

Responsabilidades

• Ingestion and processing pipelines across databases, PDFs, policies, drawings, spreadsheets, and emails.
• Backend services and shared data infrastructure that turn customer integrations into reusable capabilities.
• Data models and entity relationships that connect information across fragmented systems.
• Parsing, extraction, deduplication, and reconciliation methods for messy real-world data.
• Storage, indexing, and retrieval systems that preserve sources and access permissions for agents.
• Evaluation and observability that measure extraction quality, freshness, retrieval accuracy, latency, and cost.
• Processing architectures designed to grow to billions of rows and large document collections with reliable updates and reprocessing.

Conocimientos

Backend engineering

SQL

Data modeling

System design

Ownership

Educación

BS in CS or related field

Herramientas

Python

TypeScript

Node.js

SQL

PostgreSQL

Snowflake

Databricks

AWS

dbt

Descripción del empleo

Mason is building AI systems to transform the way large enterprises manage decades of knowledge. You will design and build backend pipelines that ingest, organize, connect, and retrieve enterprise information so AI agents can act on trusted context.

You will own production pipelines and processing infrastructure with emphasis on data modeling, reconciliation, retrieval, and context quality, collaborating with the CTO and infra engineers.