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Genai Engineer Jobs in Middleton, WI (NOW HIRING)

As a Staff Engineer on the AI team , you'll design, build, and extend Sema4.ai 's cognitive ... Who You Are GenAI Expert You know how to make LLMs and agents do real work in production systems.

GenAI Expert : You understand how to use LLMs (and other cutting-edge models) to do useful work ... While not necessarily managing people directly, you'll mentor senior engineers, conduct technical ...

... GenAI and MLOps pillars. The Sr. Integration Engineer works closely with the Automation Solutions Architect and cross-functional AI Strategy teams, partnering with the IT Integrations team on ...

Sr. AI Integration Analyst

Madison, WI ยท On-site

$78K - $156K/yr

... GenAI and MLOps pillars. The Sr. Integration Engineer works closely with the Automation Solutions Architect and cross-functional AI Strategy teams, partnering with the IT Integrations team on ...

Sr. AI Integration Analyst

Madison, WI ยท On-site

$78K - $156K/yr

... GenAI and MLOps pillars. The Sr. Integration Engineer works closely with the Automation Solutions Architect and cross-functional AI Strategy teams, partnering with the IT Integrations team on ...

Senior Fullstack Engineer, Solve

Madison, WI ยท On-site

$123K - $162K/yr

Preferred qualifications Previous experience with LLM providers (OpenAI, Google GenAI, etc.) and prompt engineering. Experience designing visual flow editors (React Flow or similar) and rich text ...

Senior Fullstack Engineer, Solve

Madison, WI ยท On-site

$123K - $162K/yr

Preferred qualifications Previous experience with LLM providers (OpenAI, Google GenAI, etc.) and prompt engineering. Experience designing visual flow editors (React Flow or similar) and rich text ...

Senior Software Engineer, AI Platform

Oregon, WI ยท On-site

$130.90 - $198/hr

As a Senior Software Engineer, AI Platform, you'll lead the design and development of core platform ... Familiarity with GenAI quality and safety considerations, such as validation of model outputs ...

New

Using strong technical background (understand software architecture, DevOps best practices) provide ... Prior experience with AI/GENAI use cases in Tech operations or delivery management * Scaled Agile ...

Genai Engineer information

What are some typical challenges a GenAI engineer faces when deploying AI models in production environments?

GenAI Engineers often encounter challenges such as ensuring model scalability, addressing bias in generated outputs, and maintaining performance consistency in real-world applications. Deploying generative AI models requires careful monitoring to prevent unexpected or inappropriate outputs, as well as efficient resource management to handle large-scale computations. Collaborating closely with data engineers, product managers, and ML operations teams is essential to streamline deployment pipelines and quickly resolve issues that arise in live environments.

What is a GenAI engineer?

A GenAI Engineer is a professional who specializes in designing, developing, and deploying generative artificial intelligence (AI) models and applications. This role involves working with advanced machine learning techniques, such as large language models and generative adversarial networks, to create systems that can generate text, images, code, or other content. GenAI Engineers collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into products and services, ensuring ethical use and scalability. They also stay updated on the latest developments in AI research to continually improve model performance and effectiveness.

What is the difference between Genai Engineer vs Data Scientist?

AspectGenai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI/ML frameworksDegree in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentDevelops AI models, fine-tunes generative AI systems, collaborates with AI teamsAnalyzes data, builds predictive models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, research labs focusing on generative AIFinance, healthcare, marketing, and tech firms analyzing data for insights

While both roles require strong technical skills and a background in data or AI, Genai Engineers focus on developing and deploying generative AI models, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but serve different primary functions within AI and data-driven organizations.

What are the key skills and qualifications needed to thrive as a GenAI engineer, and why are they important?

To thrive as a GenAI Engineer, you need expertise in machine learning, deep learning, and programming languages such as Python, along with a solid understanding of generative models like GANs and transformers. Familiarity with frameworks such as TensorFlow or PyTorch, and experience with cloud platforms and MLOps tools, are highly valuable; advanced degrees or certifications in AI or data science are often preferred. Strong problem-solving, creativity, and communication skills help GenAI Engineers design innovative solutions and effectively collaborate with multidisciplinary teams. These skills ensure the development of robust, scalable generative AI systems that address complex real-world challenges.
Infographic showing various Genai Engineer job openings in Middleton, WI as of July 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Principal Ai Platform Engineer (Ca)

PointClickCare

Oregon, WI โ€ข On-site

$169 - $188/hr

Other

Posted 3 days ago

New


Job description

The Team

This team will serve as the product owner for GenAI capabilities within PointClickCare, working closely with other engineering teams across the organization to identify, build and support generative AI solutions. This centralized team with deep specialization, closely integrated with key horizontal partners to ensure delivery of safe, scalable and high-impact AI Products

Job summary

The Principal AI Platform Engineer will focus on building the infrastructure that connects AI systems with existing products and will enable seamless delivery of AI-generated insights into agent workflows.

Key responsibilities
  • Design, build, and maintain the core infrastructure layer supporting GenAI products, including model gateways, prompt/versioning stores, vector databases, and LLM evaluation tools.
  • Implement secure access controls and authentication mechanisms integrated by default into the AI platform components.
  • Develop and manage observability, monitoring, and logging solutions for GenAI workloads and infrastructure.
  • Collaborate closely with product and engineering teams to integrate GenAI infrastructure with agent frameworks, and downstream applications.
  • Optimize infrastructure for scalability, high availability, cost efficiency for production workloads.
Qualifications & Skills
  • Extensive experience building and maintain AI platform infrastructure, Kubernetes, and container security.
  • Demonstrated expertise in observability, and monitoring frameworks, with a focus on real-time performance (i.e: experience with OpenTelemetry, NLPFlow).
  • Experience with AI infrastructure components such as vector databases, prompt/versioning stores, and AI IDEs.
Preferred experience
  • Familiarity with vLLM, SGLang or similar framework to host LLM inference workloads.
  • Experience with CI/CD pipelines and automation for AI model deployment and platform operations
  • Strong knowledge of authentication and authorization frameworks integrated into AI platforms.

#LI-AJ1

#LI-hybrid

$169,000 - $188,000 a year

At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $169,000-188,000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.

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