2 дня назад
AI Application Engineer (AI)
128 260 - 146 018$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Application Engineer (AI): Building enterprise AI applications for document-intensive review workflows with an accent on reviewer workbenches, analytics engineering, and executive reporting. Focus on surfacing agent outputs with confidence scores and citations, creating audit-ready data products and outputs, and integrating AI insights into business workflows.
Location: Denver, Colorado, United States. Full-time, onsite role with under 10% travel. Must be eligible to work in the United States and pass comprehensive background and drug screening.
Compensation: $128,260.00–$146,017.59 per year.
Company
builds, owns, and operates wholesale, colocation, and cloud data centers for hyperscale and enterprise customers.
What you will do
- Build reviewer-facing applications for document triage, AI recommendation review, annotations, comment logs, evidence links, and override workflows.
- Surface agent outputs, confidence scores, and citations in trustworthy user interfaces while capturing reviewer feedback for model and rule-pack improvement.
- Create Power BI dashboards and executive reporting layers using Databricks SQL Warehouse for throughput, accuracy, time savings, benchmarks, trends, and anomalies.
- Develop documented Gold-layer data products on Unity Catalog and audit-ready Excel, Word, and linked-evidence outputs.
- Design APIs and integration patterns that connect platform outputs with enterprise systems and business workflows.
- Work directly with business users and cross-functional partners to research needs, iterate quickly, and create documentation, training, and onboarding materials.
Requirements
- 5+ years building data-intensive applications, internal tools, or production data products.
- Full-stack capability with modern web frameworks such as React or Vue, Python or TypeScript, and SQL.
- Production experience with a BI or reporting tool, preferably Power BI, and strong SQL with Databricks SQL Warehouse, dbt, or equivalent lakehouse modeling.
- Experience shipping internal tools adopted by real users and improving them through observed behavior and feedback.
- Experience designing accurate, clear reporting for executive stakeholders.
- Familiarity with Microsoft 365 and Azure, including Power BI, SharePoint Online, Azure App Services, and Entra ID; bachelor's degree in Computer Science, Engineering, or a related field.
Nice to have
- Power BI Data Analyst Associate or Databricks Data Analyst Associate certification.
- Experience with document-heavy UX, PDF viewers, annotation tools, evidence linking, and comment logs.
- Experience presenting LLM outputs through confidence scoring, override flows, and citation interfaces.
- React, TypeScript, embedded analytics, or experience in construction, real estate, data center, or AEC industries.
Culture & Benefits
- Healthcare, dental, vision, life insurance, paid time off, and paid leave programs.
- 401(k), flexible spending accounts, and a cell phone subsidy.
- Peer-to-peer recognition and rewards programs.
- Company events, game nights, happy hours, and barbecues.
- Small-team environment with frequent delivery, user-focused development, and continual improvement.
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