AI Data Analytics Software Engineer
Listed on 2026-03-07
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IT/Tech
AI Engineer, Data Analyst, Data Science Manager, Data Engineer
and the job listing Expires on April 2, 2026
Thea AI Team
• Denver Tech Center, Denver, CO
• Part-Time (20 hrs./wk.) — Path to Full-Time
About Residex.ai
Welcome to the frontier. Residex.ai is not simply another technology company — it is a movement reshaping how the world understands, interrogates, and acts upon data. Born from the convergence of artificial intelligence, advanced analytics, and a relentless drive to solve the hardest problems in enterprise data intelligence, Residex.ai stands at the cutting edge of what is possible.
Our flagship AI platform, Thea, is a next-generation intelligence engine purpose-built to transform raw, complex data landscapes into actionable clarity. Thea doesn’t merely analyze — she learns, adapts, and anticipates. Powered by a modern cloud-native architecture spanning Microsoft Fabric, Power BI, and Snowflake, Thea delivers insights that were previously unimaginable at the speed business demands today.
From our headquarters in the vibrant Denver Tech Center, we are assembling a world-class team of engineers, scientists, and innovators who share one conviction: that the smartest, most impactful work of their careers begins here. We are builders. We are pioneers. And we are looking for exceptional talent to join us on this extraordinary journey.
Position OverviewResidex.ai is seeking two (2) exceptionally talented AI Data Analytics, Software Engineer I candidates to join the elite Thea AI team. This is a rare and exciting opportunity for Master of Science candidates to work on production‑grade, industry‑defining challenges while completing their graduate degrees.
This role is structured as a Part‑Time engagement (20 hours per week), designed to complement your academic pursuits. Upon successful completion of your MS degree, it is our intention to extend a full‑time offer of employment — bringing you on as a full member of the Residex family to continue building what you helped create.
This position is based in‑office at the Denver Tech Center for the first two years, ensuring you are fully immersed in our culture of collaboration, innovation, and excellence from day one.
At a Glance- Job Title: AI Data Analytics, Software Engineer I
- Team: Thea AI — Residex.ai’s flagship AI platform team
- Engagement: Part‑Time, 20 hours per week
- Work Model: In-Office required (first 2 years)
- Path Forward: Full-Time offer upon completion of MS degree
As a member of the Thea AI team, you will roll up your sleeves and work alongside seasoned engineers and data scientists on problems that matter. Your responsibilities will span the full analytics and AI engineering lifecycle:
- Design, develop, and maintain scalable data pipelines and analytics workflows using Microsoft Fabric, Power BI, and Snowflake, ensuring high availability, accuracy, and performance.
- Build and integrate AI/ML model components into the Thea platform, contributing to model training pipelines, inference services, and feedback loops.
- Develop and optimize data transformation logic (ETL/ELT) to process large‑scale structured and unstructured datasets across cloud environments.
- Implement and maintain data models, semantic layers, and reporting datasets that support real‑time and batch analytics consumption.
- Create rich, interactive Power BI dashboards and reports that translate complex analytical outputs into actionable business intelligence for internal and external stakeholders.
- Collaborate with product and design teams to define KPIs, metrics frameworks, and data storytelling strategies that drive platform value.
- Conduct exploratory data analysis (EDA) to uncover patterns, anomalies, and opportunities within enterprise datasets.
- Write clean, well‑documented, and testable code in Python, SQL, and/or Type Script; participate in peer code reviews and engineering design discussions.
- Contribute to the evolution of platform architecture, APIs, and microservices supporting the Thea AI ecosystem.
- Actively participate in Agile ceremonies (sprints, standups, retrospectives) and contribute to a culture of…
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