AI Platform Engineer — Data Apps & Reviewer UI

STACK Infrastructure; Denver (CO); Hybrid; USD 128,000 - 146,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401K program

Cell phone subsidy

Job summary

STACK INFRASTRUCTURE is building enterprise AI platforms that automate document-based review workflows. The Product Engineer crafts the reviewer workbench, the analytics layer, and the data products that turn AI insights into business decisions.

You’ll partner with the AI Solution Architect and MLOps Engineer to ship user-facing features, dashboards, and audit-ready outputs, ensuring scale, performance, and a seamless user experience for reviewers and leaders.

Qualifications

• 5+ years building data-intensive applications or data products in production.
• Full-stack capability: modern web frameworks (React, Vue) and Python or TypeScript and SQL.
• Experience with at least one BI tool (Power BI preferred).
• Strong SQL skills on Databricks SQL Warehouse or lakehouse modeling with dbt.
• Proven UX intuition and shipped internal tools used by real users.
• Experience designing reporting consumed by executives with balance of detail and clarity.
• Microsoft 365 and Azure familiarity (Power BI, SharePoint Online, Azure App Services, Entra ID).
• Bachelor's degree in Computer Science, Engineering, or related field.

Responsibilities

• Triage incoming documents and annotate decisions in reviewer workbench.
• Design UI/UX patterns aligned with reviewer workflows.
• Capture feedback to train the model and refine rule packs.
• Ensure performance at scale for high document volumes.
• Surface agent outputs with confidence scores and citations.

Skills

Full-stack capability

UX intuition

React or Vue

Python or TypeScript

SQL

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Power BI

Databricks SQL Warehouse

dbt

Azure

Job description

STACK INFRASTRUCTURE is building enterprise AI platforms that automate document-based review workflows. The Product Engineer crafts the reviewer workbench, the analytics layer, and the data products that turn AI insights into business decisions.

You’ll partner with the AI Solution Architect and MLOps Engineer to ship user-facing features, dashboards, and audit-ready outputs, ensuring scale, performance, and a seamless user experience for reviewers and leaders.