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Java Ai Developer Jobs in Wisconsin (NOW HIRING)

Generac

Principal Data & AI Architect

Waukesha, WI · On-site

Strong proficiency in programming languages such as Python, R, or Java. * Ability to design scalable, secure, and efficient AI architectures. * Exceptional problem-solving and analytical skills.

New

Braviant Holdings

WI · On-site

... and to lead a 6-8 person team across Angular, Java/Spring Boot, and AWS. You will balance ... You will drive an AI-native transformation, partner with AI leadership, and ensure high ...

Pariveda

WI · On-site

$105 - $116/hr

Build modern applications, data driven solutions, IoT, Machine Learning, AI, DevOps, and more with languages including: Python, .NET, Java, JavaScript, and SQL, Web technologies like React, Redux ...

New

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Java Ai Developer information

What is a Java AI Developer?

A Java AI Developer is a software professional who designs, develops, and implements artificial intelligence solutions using the Java programming language. They build machine learning models, integrate AI features into applications, and work with frameworks and libraries suited for AI development in Java. Their role often involves data processing, algorithm development, and deploying scalable AI-powered applications. Java AI Developers may work in various industries such as finance, healthcare, or technology to create intelligent systems that help solve complex business problems.

What are the key skills and qualifications needed to thrive as a Java AI Developer?

To thrive as a Java AI Developer, you need strong proficiency in Java programming, machine learning concepts, and a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow or Deeplearning4j), version control systems like Git, and experience with cloud platforms are typically required. Creative problem-solving, strong analytical thinking, and effective communication skills help developers collaborate and innovate in complex AI projects. These skills ensure the delivery of efficient, scalable AI solutions and foster productive teamwork in fast-evolving tech environments.

What are some common challenges faced by Java AI Developers when integrating machine learning models into existing enterprise systems?

One of the main challenges Java AI Developers encounter is ensuring seamless integration of machine learning models—often built with Python-based frameworks—into Java-based enterprise environments. This can involve using APIs, microservices, or platforms like TensorFlow Java and Deeplearning4j to bridge compatibility gaps. Additionally, developers must optimize model performance for scalability and real-time inference, which requires thorough testing and tuning. Effective collaboration with data scientists and DevOps teams is crucial to address deployment issues and maintain model accuracy in production.

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Java Ai Developer jobs near you
Infographic showing various Java Ai Developer job openings in Wisconsin as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution.

Software Engineer - AI & Cloud Engineering (Early to Mid Career)

Flexcompute Inc.

Madison, WI • On-site

Full-time

Medical, Retirement

Re-posted 24 days ago

Job description

Flexcompute is a cutting-edge technology startup that specializes in ultra-fast simulation technology. Our products are utilized by companies in designing and optimizing technology products, with applications ranging from designing airplanes and cars to wind turbines and quantum computing chips. Our customer base includes both household names and startups in emerging industries. Our company was founded by world-renowned leaders in simulation technology from Stanford University and MIT. Backed by top VC firms, we are poised to disrupt the billion-dollar engineering simulation industry with our fast-growing trajectory.
About the Role
Flexcompute is seeking a highly capable mid-level software engineer to join our Wisconsin-based engineering team. This role is ideal for someone who enjoys building scalable systems, learning quickly, and contributing across multiple layers of a modern engineering platform.
You will help develop and improve core infrastructure and user-facing capabilities across our cloud-native simulation and collaboration platforms. Initially, the focus will be on workspace and workbench-related functionality, with opportunities to grow into more advanced platform architecture and distributed systems work over time.
You will collaborate closely with experienced engineers, product leaders, and simulation experts while helping shape the next generation of engineering software and AI-enabled workflows.
What You'll Work On
Projects may include:
  • Building and maintaining backend services, APIs, and platform infrastructure
  • Developing features for engineering workspaces and collaborative workflows
  • Improving scalability, reliability, and performance across cloud systems
  • Supporting AI-related infrastructure and intelligent tooling initiatives
  • Enhancing developer tooling, automation, and deployment systems
  • Contributing to visualization and interactive engineering experiences
  • Collaborating across software, infrastructure, and simulation teams

Requirements
We are looking for engineers with strong technical fundamentals, curiosity, and the ability to ramp up quickly in complex environments.
You may be a strong fit if you have:
  • 3 to 6 years of professional software engineering experience
  • Strong programming skills in one or more languages such as Python, C++, Rust, Go, Java, or JavaScript
  • Experience building backend systems, APIs, or distributed services
  • Familiarity with Linux-based development environments and Git workflows
  • The ability to independently drive technical projects and collaborate effectively across teams
  • Strong problem-solving ability and attention to detail
  • A degree in Computer Science, Engineering, Physics, Mathematics, or a related technical field

Preferred Skills
  • Experience with cloud infrastructure such as AWS, GCP, or Azure
  • Familiarity with Docker, Kubernetes, or containerized environments
  • Exposure to AI infrastructure, ML systems, or data engineering workflows
  • Experience with performance optimization or distributed computing systems
  • Interest in scientific computing, GPU acceleration, or simulation platforms

Why Flexcompute?
Flexcompute offers the opportunity to work on deeply technical challenges with real-world impact across aerospace, semiconductors, energy, advanced computing, and AI-driven engineering.
You will join a fast-growing team building next-generation technologies at the intersection of GPU computing, cloud infrastructure, scientific simulation, and AI. Engineers at Flexcompute are given significant ownership, access to world-class mentors, and the opportunity to contribute to products used by some of the world's most innovative organizations.
If you are excited by ambitious technical challenges and want to help shape the future of engineering computing, we encourage you to apply.
Benefits
Competitive salary
Meaningful equity of early-stage startup
401K contribution
Health insurance

Apply