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Full Stack Ai Engineer Jobs in Appleton, WI (NOW HIRING)

Cisco

Site Reliability Engineer - Networking

Appleton, WI · On-site

$55.50 - $74/hr

Full-stack troubleshooting of production issues (application, system and network) through to root ... Are comfortable using AI-assisted engineering tools such as Codex, Claude Code, and Cursor to ...

Schneider

AI & Machine Learning Engineer

Green Bay, WI

$94K - $129K/yr

AI & Machine Learning Engineer Work model:On-Site Location:Green Bay, WI, USA Shift:First shift Job ... See full list of information technology benefits. Schneider's inclusive culture Our history has ...

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$43.4K

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How much do full stack ai engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for full stack ai engineer in Appleton, WI is $131,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,300.00 and $154,100.00 per year, depending on experience, location, and employer.

What is a full stack AI engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

How do full stack AI engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What are the key skills and qualifications needed to thrive as a full stack AI engineer?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.
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Full Stack Ai Engineer jobs near you

Senior AI Engineer (Breakthrough)

U.S. Venture, Inc.

Green Bay, WI • On-site

$101K - $139K/yr

Full-time

Re-posted 13 days ago

U.S. Venture rating

8.2

Company rating: 8.2 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

88th of 409 rated retail wholesalers

Job description

POSITION SUMMARY
Join our Breakthrough Engineering team with our newly added Senior AI Engineer role! We are seeking a talented and experienced senior level engineer with a background in generative AI and machine learning to join our innovative engineering team. In this role, you will contribute to the design, development, and maintenance of full-stack software solutions, with a focus on integrating AI/ML technologies to enhance our products and services.
Over $20 trillion of freight moves through the U.S. economy every year, and most of it is still managed through fragmented data, manual processes, and knowledge that lives in people's heads. We're changing that. Breakthrough is building agentic AI that can reason through complex, customer-specific freight scenarios and operate reliably in workflows where the stakes are measured in real dollars.
Agentic capability is becoming the foundation of how every product in our portfolio works. This is not a side project. You'll join a team of engineers, product managers, and domain experts building production agentic systems from the ground up.
Freight is a deceptively complex domain: fragmented data sources, constantly shifting constraints, and an ecosystem of carriers, shippers, and intermediaries that doesn't sit still.
The problems you'll work on include:
• Designing agent reasoning that navigates complex, customer-specific freight scenarios
• Solving entity resolution and data integration across diverse data sources
• Building evaluation and reliability frameworks that prove agent decisions are sound before they touch customer workflows
• Defining orchestration patterns that scale from a single product to platform-wide agentic capability
You'll work with years of real, proprietary freight data. You'll influence how these agents interact with users, working alongside product, design, and domain experts. This is not a research role. We ship. But the people who thrive here think deeply about how agents should work, not just how to make them work right now. If you've been building agentic systems and want to see what happens when they meet a hard, real-world domain with real data and real consequences, this is where that work happens.
This role is open to work on-site in Green Bay or remote/hybrid options based on relevancy of candidate experience. Note that final candidates will be required to interview on-site for this position.
JOB RESPONSIBILITIES
Generative AI and Machine Learning Development:
  • Implement and integrate generative AI models and machine learning algorithms into existing and new software solutions.
  • Fine-tune and optimize pre-trained AI/ML models for specific use cases.
  • Collaborate with engineers and data scientists to build and deploy scalable AI-driven features.

Full Stack Development:
  • Write clean, efficient, and maintainable code for AI-powered software applications.
  • Contribute to both frontend and backend development tasks as part of a cross-functional team, ensuring seamless integration of AI components.

Architectural Design:
  • Work closely with team members and product leads to understand requirements, design AI/ML-enabled features, and contribute to product success.
  • Participate in architectural discussions to determine the best ways to incorporate AI technologies into existing systems.

Technical Excellence:
  • Actively seek opportunities to learn about emerging AI/ML techniques, tools, and platforms.
  • Optimize and refactor code to address performance bottlenecks in AI/ML pipelines.
  • Write and execute robust unit and integration tests for AI/ML models and other software components.
  • Troubleshoot and resolve issues related to AI/ML model performance and system integration.

Innovation:
  • Stay updated on cutting-edge advancements in AI/ML, particularly in generative AI models.
  • Propose and implement creative solutions using AI to solve business problems and enhance user experiences.

Collaboration:
  • Partner with senior, staff, and principal engineers to refine development processes for AI/ML integration.
  • Share knowledge about AI/ML best practices with teammates and mentor junior engineers interested in the field.

QUALIFICATIONS
  • Bachelor's degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
  • 7+ years as a software or data engineer
  • 2+ years experience in AI/ML engineering
  • Experience using AI/ML libraries and frameworks (e.g., Google ADK, LangChain/Graph, Anthropic, GPT, Gemini, Llama, Vertex, TensorFlow, Scikit-learn ) training and fine-tuning machine learning models, including supervised, unsupervised, and reinforcement learning approaches.
  • Proficiency in multiple programming languages, frameworks, and technologies such as Python, SQL, ReactJS, Node.js, JavaScript, TypeScript, Apache Beam, dbt, and BigQuery.
  • Knowledge of application architectures, security best practices, and data integration concepts.
  • Exposure to modern infrastructure such as code technologies like Docker, Kubernetes, Terraform, and Airflow.
  • Understanding of database concepts, data modeling, and data warehousing principles.
  • Understanding of distributed data management systems and related applications.
  • Familiarity with public cloud infrastructure design, tools, and strategies.
  • Knowledge of software development methodologies including Agile, Kanban, and Scrum.
  • Effective communication skills, with the ability to articulate technical concepts to both technical and non-technical stakeholders.

Preferred:
  • Prior experience in a product focused technology team desired.
  • Prior experience with technical problem-solving and the ability to navigate complex technical challenges.

DIVISION:
Breakthrough
U.S. Venture will not offer sponsorship for employment status (including, but not limited to, H-1B, TN, E-3, F1, CPT, OPT, STEM OPT, visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require U.S. Venture's sponsorship to continue to work legally in the United States. In general, U.S. Venture does not sponsor candidates for nonimmigrant visas or permanent residency except when there is a specific business need.
U.S. Venture will not accept unsolicited resumes from recruiters or employment agencies. In the absence of an executed recruitment Master Service Agreement, there will be no obligation to any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without an agreement, U.S. Venture shall reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, shall be deemed the property of U.S. Venture.
U.S. Venture, Inc. is an equal opportunity employer that is committed to inclusion and diversity. We ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, marital status, age, national origin, disability, veteran status, genetic information, or other protected characteristic. If you need assistance or an accommodation due to a disability, you may call Human Resources at (920) 739-6101.
50-57-504-0000

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