ZipRecruiter

Log In

1

Ai Applications Engineer Jobs in Appleton, WI (NOW HIRING)

Koch Industries

Senior Software Engineer

Green Bay, WI · On-site

$119K - $157K/yr

This AI-native product engineering role requires strong technical judgment, modern engineering ... Support and maintain existing applications by troubleshooting and resolving production issues

TEKsystems

Cloud Platforms Engineer

Oshkosh, WI

$35 - $50/hr

Client The Cloud Platforms Engineer is responsible for designing, deploying, securing, and ... secure AI integration with enterprise applications, data sources, and business processes. • ...

Humana

Senior Full Stack Engineer

Green Bay, WI · On-site

... applications and platforms that support the Wisconsin Medicaid Market. This role operates with a ... The role will also champion practical, responsible use of Humana-approved AI-assisted development ...

Humana

Senior Full Stack Engineer

Green Bay, WI · On-site

... applications and platforms that support the Wisconsin Medicaid Market. This role operates with a ... The role will also champion practical, responsible use of Humana-approved AI-assisted development ...

Humana

Senior Full Stack Engineer

Green Bay, WI · On-site

... applications and platforms that support the Wisconsin Medicaid Market. This role operates with a ... The role will also champion practical, responsible use of Humana-approved AI-assisted development ...

next page

Showing results 1-20

All JobsAi Applications Engineer JobsAi Applications Engineer Jobs in Appleton, WI

Ai Applications Engineer information

See Appleton, WI salary details

$49.3K

$108K

$148.3K

How much do ai applications engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for ai applications engineer in Appleton, WI is $108,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,000.00 and $131,700.00 per year, depending on experience, location, and employer.

What is an AI applications engineer?

AI Applications Engineers are professionals who design, develop, and integrate artificial intelligence (AI) solutions into software applications to solve real-world problems. They work closely with data scientists, software engineers, and business stakeholders to build and deploy machine learning models, automate processes, and enhance user experiences. Their responsibilities often include selecting appropriate AI technologies, writing code, testing models, and optimizing performance. AI Applications Engineers play a key role in translating AI research and prototypes into scalable and maintainable products used in industries like healthcare, finance, retail, and more.

What are the key skills and qualifications needed to thrive as an AI applications engineer?

To thrive as an AI Applications Engineer, you need strong programming abilities (Python, Java, or C++), a solid understanding of machine learning algorithms, and a relevant degree in computer science or engineering. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms, and data processing tools is typically required, along with certifications in machine learning or AI. Excellent problem-solving, collaboration, and communication skills help you translate business needs into effective AI solutions and work efficiently with cross-functional teams. These skills are critical for building scalable, reliable AI systems that deliver tangible value to organizations.

How does an AI applications engineer typically collaborate with data scientists and software developers on project teams?

As an AI Applications Engineer, you will often serve as a bridge between data scientists, who build and optimize machine learning models, and software developers, who integrate these models into production systems. Collaboration usually involves translating model requirements into scalable application features, ensuring model outputs align with user needs, and troubleshooting technical challenges that arise during deployment. Regular meetings, code reviews, and shared documentation are common practices to keep everyone aligned and ensure seamless integration. This cross-functional teamwork enhances both the technical robustness and usability of AI-powered applications.

What is the difference between Ai Applications Engineer vs Data Scientist?

AspectAi Applications EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of AI/ML toolsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI solutions, collaborates with engineering teamsAnalyzes data, builds models, interprets results
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, tech, research institutions

While both roles involve AI and data, Ai Applications Engineers focus on developing and deploying AI solutions in engineering contexts, whereas Data Scientists analyze data to extract insights. The roles often overlap but differ mainly in their primary focus and application environment.

What does an AI applications engineer do?

An AI applications engineer designs, develops, and implements artificial intelligence solutions to solve specific business problems. They work with machine learning models, data processing, and programming tools like Python or TensorFlow, often collaborating with data scientists and software developers to deploy AI systems effectively.

What are popular job titles related to Ai Applications Engineer jobs in Appleton, WI?

For Ai Applications Engineer jobs in Appleton, WI, the most frequently searched job titles are:

What job categories do people searching Ai Applications Engineer jobs in Appleton, WI look for?

The top searched job categories for Ai Applications Engineer jobs in Appleton, WI are:

What cities near Appleton, WI are hiring for Ai Applications Engineer jobs?

Cities near Appleton, WI with the most Ai Applications Engineer job openings:

Ai Applications Engineer jobs near you
Infographic showing various Ai Applications Engineer job openings in Appleton, WI as of September 2026, with employment types broken down into 1% Internship, 78% Full Time, 17% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $108,012 per year, or $51.9 per hour.

Gen AI / ML Engineer (RAG & Agentic AI)

Appleton, WI • On-site

Rivi Consulting Group
1 - 10 employees
Learn more about Rivi Consulting Groupexternal

Other

Posted 15 days ago

Job description

Position Title: Gen AI / ML Engineer (RAG & Agentic AI)

Role Summary

We are seeking a skilled engineer with expertise in machine learning, Generative AI, and autonomous agent systems. You will build next-generation applications that connect Large Language Models (LLMs) to enterprise data and external tools. You will bridge the gap between deep AI theory and scalable software engineering.

Key Responsibilities

  • Build Agentic Systems: Develop autonomous agents capable of reasoning, planning, and multi-step task execution.

  • Implement RAG Pipelines: Build and optimize Retrieval-Augmented Generation workflows using vector databases.

  • Orchestrate Tools and APIs: Connect models to external business systems, databases, and APIs for real-world execution.

  • Manage ML Pipelines: Design scalable, production-ready machine learning pipelines on cloud platforms.

  • Monitor and Evaluate: Track model accuracy, latency, cost efficiency, and safety guardrails.

Required Skills & Qualifications

  • Core Programming: Strong coding skills in Python.

  • AI & LLM Experience: Hands-on work with foundation models (GPT, Claude, Gemini) and agent frameworks (LangChain, LlamaIndex, Semantic Kernel).

  • Data Infrastructure: Experience with vector databases (Pinecone, FAISS, Weaviate, Chroma) and embeddings.

  • Cloud & DevOps: Familiarity with cloud platforms (AWS, Azure, Google Cloud Platform) and container tools like Docker.

  • Background: Bachelor’s or Master’s degree in Computer Science, AI, or a related field, plus 3+ years of relevant development experience.

Preferred Qualifications

  • Knowledge of fine-tuning techniques (LoRA, PEFT, RLHF).

  • Experience with knowledge graphs or GraphRAG.

  • Familiarity with LLMOps, CI/CD pipelines, and model governance.

Please send us your updated resume.

Regards,

Nagendra Namagiri I BD & AM

Cell:

​

CMMI DEV Level 3 | CMMI SVC Level 3 | ​(GWBC) | (DBE by GDOT)

ISO 27001:2013 | ISO 9001:2015 | GSA Schedule 70

Apply