Senior Generative AI Engineer

BlackCube Labs; Glendale (WI); On-site; USD 124,000 - 193,000; Full time

Job summary

ZipStaff is seeking a Senior Generative AI Engineer to build production AI for smart-building and industrial-control products. You will ship LLM/GenAI features and help the engineering org adopt AI-assisted development. This is a hands-on product + platform role, not research-only.

The role requires 7+ years of software engineering and 5+ years deploying ML solutions, with Python and PyTorch/TensorFlow/Scikit-learn. On-site work in Glendale, WI is required, and US work authorization is essential.

Qualifications

• 7+ years of software engineering with modern development practices.
• 5+ years hands-on developing and deploying ML solutions.
• Experience with Python and ML frameworks (PyTorch/TensorFlow/Scikit-learn).
• Experience building and integrating Generative AI/LLM solutions.
• Familiarity with AWS, Azure, or GCP.

Responsibilities

• Design, build, and deploy AI/ML and GenAI capabilities across cloud, edge, and on-prem.
• Develop LLM-powered features: operator copilots, alarm analysis, recommendations, NL interfaces.
• Integrate AI into existing smart-building products and platforms.
• Build scalable inference and deployment architectures for production AI.
• Partner with software engineering and product to turn business needs into AI solutions.
• Monitor and improve model performance, reliability, and accuracy.
• Introduce AI-assisted developer tools that improve delivery velocity.
• Use AI for code generation, testing, reviews, and CI/CD.
• Set AI engineering standards and governance.
• Mentor engineers on AI frameworks and implementation.
• Evaluate emerging tools and drive responsible AI use across the SDLC.

Skills

Python

Generative AI/LLM

ML deployment

Software architecture

APIs & data pipelines

Cloud platforms

On-site Glendale, WI

Education

Bachelor's in CS/Software Engineering/Data Science

Tools

PyTorch

TensorFlow

Scikit-learn

Job description

Job Title: Senior Generative AI Engineer

Location: Glendale, WI (On-site)

Employment Type: Contract (W2 through ZipStaff — No C2C or 1099)

About the Opportunity

ZipStaff is seeking a Senior Generative AI Engineer to build production AI for smart-building and industrial-control products at a global building-technology organization.

You will ship LLM / GenAI features (operator copilots, alarm analysis, recommendations, NL interfaces) and help the engineering org adopt AI-assisted development. This is a hands-on product + platform seat — not a research-only or prompt-only role.

What You’ll Do:

• Design, build, and deploy AI/ML and GenAI capabilities across cloud, edge, and on-prem.
• Develop LLM-powered features: operator copilots, intelligent alarm analysis, recommendations, and natural-language interfaces.
• Integrate AI into existing smart-building products and platforms.
• Build scalable inference and deployment architectures for production AI.
• Partner with software engineering and product to turn business needs into AI solutions.
• Monitor and improve model performance, reliability, and accuracy.
• Introduce AI-assisted developer tools that improve delivery velocity.
• Use AI for code generation, testing, reviews, and CI/CD.
• Set AI engineering standards and governance.
• Mentor engineers on AI frameworks and implementation.
• Evaluate emerging tools and drive responsible AI use across the SDLC.

Required Qualifications:

• 7+ years software engineering with modern development practices.
• 5+ years hands‑on developing and deploying machine learning solutions.
• Python plus PyTorch, TensorFlow, or Scikit-learn.
• Experience building and integrating Generative AI / LLM solutions.
• Familiarity with AWS, Azure, or GCP.
• Strong software architecture, APIs, data pipelines, and production deployment.
• Bachelor’s in CS, Software Engineering, Data Science, or related field.
• Ability to work on‑site in Glendale, WI.
• Must be legally authorized to work in the United States without sponsorship now or in the future.

Preferred Qualifications:

• RAG, vector databases, and prompt engineering.
• AI on edge / IoT.
• MLOps, model monitoring, and AI governance.
• BAS, industrial controls, IoT, or smart buildings.
• Agile / Scrum.

About ZipStaff

ZipStaff partners with leading organizations to connect skilled AI engineers with high-impact contract opportunities. We focus on quality matches and long-term success.