Z
Senior Generative AI Engineer
ZipStaff Inc.
1 hour ago
Full-time
On-site
Glendale, Wisconsin, United States
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 Edison, NJ.
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.
#J-18808-Ljbffr
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 Edison, NJ.
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.
#J-18808-Ljbffr