Senior AI Data Infrastructure Engineer

United States Digital Space LLC; Denver (CO); Hybrid; USD 120,000 - 180,000; Full time

Job summary

United States Digital Space LLC is seeking a Senior R&D Software Engineer to join our fast-growing AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements.

Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context in the customer data warehouse, and

Qualifications

• Experience in AI/ML system development and production features.
• Ability to prototype quickly and ship production-grade software.
• Experience building backend and frontend systems for AI products.
• On-call rotation and site reliability engineering responsibilities.
• Contributes to AI/SQL capabilities and data infrastructure.

Responsibilities

• Research retrieval techniques and evaluate relevance to the roadmap.
• Prototype ideas quickly and turn them into shipped features.
• Build and maintain backend and frontend systems for the AI product.
• Contribute to AISQL capability: NL to SQL in the warehouse.
• Own production reliability and incident response.

Skills

Software engineering

Research

Prototype development

SRE & incident response

Cross-functional collaboration

Tools

Python

Java

SQL

dbt

React

TypeScript

Kubernetes

BigQuery

Snowflake

Databricks

Iceberg

Delta Lake

MCP protocol

LLMs

Vector databases

Job description

United States Digital Space LLC is seeking a Senior R&D Software Engineer to join our fast-growing AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements.

Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context in the customer data warehouse, and