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. To apply , please submit your resume highlighting production LLM/GenAI delivery, Python ML frameworks, and deployed AI — not demos only. Pay: $70 - $72 per hour

Requirements

Must-haves

Job Title: Senior Generative AI Engineer
Location: Glendale, WI (On-site)
Employment Type: Contract (W2 through ZipStaff — No C2C or 1099)
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.
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.

Nice-to-haves

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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillmmlci/cdmachine learningpythonawsazuregcpagilescrum

Platform: betterteam
Effort: medium