AI Applications Engineer — Reviewer Tools & Data UIs

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

Benefits offered by this job

Healthcare

Dental Insurance

Vision Insurance

Life Insurance

Paid Time Off

401K Program

Cell phone subsidy

Job summary

STACK Infrastructure in Denver, CO is building a product engineering and analytics role focused on enterprise AI platforms that automate document-intensive workflows. You will shape the reviewer workbench, data products, and audit-ready outputs for business decisions.

You will partner with the AI Solution Architect and MLOps Engineer to ship user-facing features, run analyses in Power BI and Databricks SQL Warehouse, and deliver scalable outputs for executive visibility.

Qualifications

• 5+ years building data-intensive applications in production.
• Full-stack capability across modern web frameworks, Python or TypeScript, and SQL.
• Production experience with BI/reporting tools (Power BI preferred).
• Strong SQL on Databricks/ lakehouse modeling.

Responsibilities

• Triage incoming documents and annotate decisions for reviewer workbench.
• Develop reviewer-facing application with UX patterns used by reviewers.
• Capture feedback to train models and refine rule packs.
• Ensure performance at scale with high document volumes.
• Create dashboards and executive reports for leadership.
• Build data products and analytics pipelines with Gold-layer data.
• Expose platform outputs via APIs to enterprise systems.
• Document data products and provide user training and onboarding.

Skills

Full-stack capability

UX intuition

Executive reporting design

Communication

Ambiguity tolerance

Education

Bachelor's degree in Computer Science/Engineering

Power BI Data Analyst Associate

Databricks Data Analyst Associate

Tools

React

Vue

TypeScript

Python

SQL

Power BI

Databricks SQL Warehouse

dbt

Azure

SharePoint Online

Entra ID

Job description

STACK Infrastructure in Denver, CO is building a product engineering and analytics role focused on enterprise AI platforms that automate document-intensive workflows. You will shape the reviewer workbench, data products, and audit-ready outputs for business decisions.

You will partner with the AI Solution Architect and MLOps Engineer to ship user-facing features, run analyses in Power BI and Databricks SQL Warehouse, and deliver scalable outputs for executive visibility.