Hybrid AI Platform Engineer for Enterprise Workflows

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

Benefits offered by this job

Medical, dental, and vision insurance

401K program

Flexible spending accounts

Cell phone subsidy

Paid Time Off

Paid Leave Programs

Job summary

STACK Infrastructure seeks a Product Engineer to build the reviewer workbench and analytics layer for enterprise AI platforms. You’ll partner with the AI Solution Architect and the MLOps Engineer to ship the user-facing UI and data products that translate AI insights into business decisions.

You’ll collaborate with stakeholders across product and IT, own performance at scale, and deliver auditable outputs, citations, and trusted dashboards that drive reviewers’ efficiency and leadership

Qualifications

• 5+ years building data-intensive applications, internal tools, or data products in production.
• Full-stack capability — modern web frameworks (React, Vue, or equivalent), Python or TypeScript, SQL.
• Production experience with at least one BI/reporting tool (Power BI preferred).
• Strong SQL on Databricks SQL Warehouse, dbt, or equivalent lakehouse modeling.
• Proven UX intuition — you have shipped internal tools real users adopt and improved them based on observed behavior.
• Experience designing reporting consumed by executive stakeholders — balancing detail, accuracy
• Microsoft 365 and Azure ecosystem familiarity (Power BI, SharePoint Online, Azure App Services, Entra ID).
• Bachelor’s degree in Computer Science, Engineering, or related field

Responsibilities

• Reviewer-facing application — triage incoming documents, accept or override AI recommendations, annotate decisions
• UI/UX patterns that match how reviewers actually work today (comment logs, page-level evidence links, override flows)
• Feedback capture — every reviewer interaction trains the model and refines the rule packs
• Application performance at scale — handling high document volumes with thousands of pages of supporting context
• Surfacing of agent outputs, confidence scores, and citations to reviewers in a way they trust
• Power BI dashboards on Databricks SQL Warehouse — review throughput, accuracy, time saved, operational metrics
• Executive reporting layers for SLT and business leadership
• Data products & analytics engineering — clean, documented Gold-layer data products on Unity Catalog; APIs
• Collaborate with the AI Solution Architect, MLOps Engineer, business stakeholders, IT Delivery, SLT

Skills

Full-stack development

React

TypeScript

Python

SQL

Power BI

Databricks

dbt

UX intuition

Executive reporting

Azure ecosystem

Education

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

Tools

Power BI

Databricks

dbt

Azure App Services

Entra ID

SharePoint Online

Microsoft 365

Job description

STACK Infrastructure seeks a Product Engineer to build the reviewer workbench and analytics layer for enterprise AI platforms. You’ll partner with the AI Solution Architect and the MLOps Engineer to ship the user-facing UI and data products that translate AI insights into business decisions.

You’ll collaborate with stakeholders across product and IT, own performance at scale, and deliver auditable outputs, citations, and trusted dashboards that drive reviewers’ efficiency and leadership