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Ai Frontend Developer Jobs in Racine, WI (NOW HIRING)

Controls Engineer

Menomonee Falls, WI · On-site

$83K - $108K/yr

The Front End Manufacturing Technology team within Hand Tools develops and deploys next-generation ... Evaluate, pilot, and implement advanced manufacturing, Industry 4.0, AI/ML, robotics, vision ...

Controls Engineer

Menomonee Falls, WI · On-site

$83K - $108K/yr

The Front End Manufacturing Technology team within Hand Tools develops and deploys next-generation ... Evaluate, pilot, and implement advanced manufacturing, Industry 4.0, AI/ML, robotics, vision ...

HTML Tutor

Milwaukee, WI · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... front-end engineering pathways. * Conceptual Teaching & Problem-Solving: Skilled at teaching web ...

Software Engineer 1 (Backend UI and AI)

Brookfield, WI · On-site

$98K - $131K/yr

The candidate will be adept with the agile software development lifecycle and DevOps principles ... Strong experience with Micro Frontend architectures , reusable component libraries, and modern UI ...

JavaScript Tutor

Milwaukee, WI · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... web programming through advanced front-end and full-stack JavaScript development. * Effective ...

These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt ...

... front-end, back-end, and data components. Design AWS-native architectures using Lambda, EC2, ECS ... Define and drive AI-native engineering strategy across teams, establishing standards for AI tool ...

Showing results 21-40

Ai Frontend Developer information

See Racine, WI salary details

$39.9K

$103.5K

$145.8K

How much do ai frontend developer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for ai frontend developer in Racine, WI is $103,531.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $113,500.00 per year, depending on experience, location, and employer.

What is the difference between Ai Frontend Developer vs Machine Learning Engineer?

AspectAi Frontend DeveloperMachine Learning Engineer
CredentialsBachelor's in CS, Web Development skillsBachelor's/Master's in CS, Data Science or ML specialization
Work EnvironmentWeb development teams, UI/UX focusData science teams, algorithm development
Industry UsageAI-powered web apps, interactive interfacesAI models, data pipelines, predictive systems
Search & Comparison IntentFocus on frontend AI integrationFocus on AI model development

While both roles involve AI, an Ai Frontend Developer specializes in integrating AI features into web interfaces, whereas a Machine Learning Engineer focuses on developing and deploying AI models and algorithms. The roles often collaborate but differ in technical focus and work environment.

What is an AI frontend developer?

An AI frontend developer is a professional who designs and implements user interfaces that incorporate artificial intelligence features, such as chatbots, recommendation systems, or data visualization tools. They typically work with programming languages like JavaScript and frameworks like React or Angular, and may integrate AI models using APIs or machine learning libraries to enhance user experience.

What are popular job titles related to Ai Frontend Developer jobs in Racine, WI?

For Ai Frontend Developer jobs in Racine, WI, the most frequently searched job titles are:

What job categories do people searching Ai Frontend Developer jobs in Racine, WI look for?

The top searched job categories for Ai Frontend Developer jobs in Racine, WI are:

What cities near Racine, WI are hiring for Ai Frontend Developer jobs?

Cities near Racine, WI with the most Ai Frontend Developer job openings:

Controls Engineer

Milwaukee Tool

Menomonee Falls, WI • On-site

$83K - $108K/yr

Full-time

Re-posted 22 days ago


Job description

Job Description:
INNOVATE WITHOUT BOUNDARIES! At Milwaukee Tool, our people and culture drive our success. The Front End Manufacturing Technology team within Hand Tools develops and deploys next-generation manufacturing capabilities in automation, controls, connected equipment, data systems, machine learning, and AI-enabled manufacturing. This role partners with engineering, manufacturing, quality, IT, analytics, suppliers, and global sites to turn emerging technologies into scalable, reliable, high-impact solutions.
Manufacturing Process, Controls & Emerging Technology:
  • Evaluate, pilot, and implement advanced manufacturing, Industry 4.0, AI/ML, robotics, vision, sensor, and connected-equipment technologies that improve cost, quality, throughput, safety, flexibility, and speed to market.
  • Partner with AME, IT, Data & Analytics, Quality, operations, suppliers, and integrators to develop practical process, controls, data, and quality solutions.
  • Apply automation and process knowledge across assembly, welding, part handling, material feeding, machine vision, robotics, motion control, and related production technologies.
  • Specify, integrate, debug, commission, and support automation systems including PLCs, HMIs, drives, robots, vision, sensors, safety devices, laser systems, and material handling equipment.
  • Use simulation, digital twins, virtual commissioning, machine data, and structured prototyping to de-risk equipment, accelerate learning, and optimize process performance.
  • Define equipment specifications, review concepts and controls architecture, and ensure internal and supplier-built equipment meets Milwaukee Tool standards and industry best practices.

Digital & Data Systems:
  • Develop Python scripts and applications for automation, data processing, equipment connectivity, and manufacturing analytics.
  • Collaborate with IT and Data & Analytics to define scalable infrastructure, networking, cybersecurity, and architecture for connected manufacturing assets.
  • Support OPC-UA, MQTT, SQL, APIs, data historians, edge devices, and related technologies for data collection, integration, visualization, and traceability.
  • Build data pipelines from machine controls to enterprise systems for SPC, dashboards, process control, capability analysis, and engineering insight.
  • Translate machine data into control plans, closed-loop feedback opportunities, predictive quality models, and data-driven manufacturing decisions.

Project Management Skills:
  • Lead manufacturing technology projects by providing technical direction, engineering expertise, and cross-functional coordination.
  • Communicate status, risks, technical decisions, recommendations, and resource needs through clear written updates, visuals, and presentations.
  • Develop cost models, capability assessments, throughput analysis, risk assessments, and what-if scenarios to support investment and project decisions.
  • Justify automation, digital manufacturing, and advanced technology investments using cost, quality, capability, throughput, safety, and scalability considerations.
  • Drive milestone delivery, challenge the status quo, and align global and site teams on deployable, supportable, and sustainable solutions.

Other Requirements:
  • Ability to travel domestically and internationally for supplier, machine, technology, and concept evaluations; estimated travel is 10%.
  • Ability to support execution and alignment across manufacturing sites.
  • Ability to learn new technical material quickly and apply it in hands-on engineering environments.
  • Ability to work directly with equipment, controls, data systems, and manufacturing teams during development, launch, and support.

Education and Experience Requirements:
  • Bachelor's degree in Mechanical, Electrical, Manufacturing, Computer Engineering, or a related discipline.
  • 2 or more years of experience in machine controls, automation design, programming, integration, and commissioning, preferably with custom equipment.
  • Demonstrated experience with PLC/HMI programming, industrial automation, controls integration, and machine commissioning.
  • Preferred experience with Industry 4.0, connected equipment, smart manufacturing, data analytics, Python, AI/ML concepts, or statistical process improvement.
  • Preferred experience with industrial networking, edge computing, cloud-connected systems, historians, SQL, APIs, OPC-UA, MQTT, robotics, vision, motion control, safety systems, laser marking/welding, and assembly automation.
  • Working knowledge of IT infrastructure, industrial connectivity, cybersecurity, machine safety practices, and standards such as NFPA 70/79, UL 508, and CE.
  • Advanced skills with Microsoft Office, Microsoft Project, Power BI, Visio, or similar project management and visualization tools preferred.

Milwaukee Tool is an equal opportunity employer.