Explore 2 full stack python developer jobs from 2 hiring companies in Marinette, WI, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Full Stack Python Developer

Menominee

Peshtigo

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De Pere

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Oconto Falls

Algoma

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Norway

Full Stack Python Developer Jobs

Foundry Robotics

U.S. Venture

Hybrid

Remote

OVERVIEW:
<ul>
<li style="line-height: normal; tab-stops: list .75in;">ROLE: Senior Full Stack Engineer with AI</li>
<li style="line-height: normal; tab-stops: list .75in;">ROLE TYPE: Direct Hire</li>
<li style="line-height: normal; tab-stops: list .75in;">COMPENSATION
<ul>
<li style="line-height: normal; tab-stops: list .75in 1.0in;">BASE: Base salary is flexible and will be determined based on experience and overall fit for the role.</li>
<li style="line-height: normal; tab-stops: list .75in 1.0in;">BONUS: This position is eligible for an annual performance bonus targeted at 15% of base salary, with the opportunity to earn up to 30% of base for exceptional company performance.</li>
</ul>
</li>
<li style="line-height: normal; tab-stops: list .75in;">WORK LOCATION: Client is based in Wisconsin, but this role can operate anywhere in the US. That said, they prefer someone in the upper Midwest (i.e., someone who could drive to Green Bay, WI, for occasional on-site meetings without too much effort). So, candidates outside that range (i.e., &gt; 700 miles one way) would need to be a high degree fit to be considered.</li>
<li style="line-height: normal; tab-stops: list .75in;">WORK AUTHORIZATION: The client cannot sponsor visa candidates; therefore, work authorizations must be held by U.S. citizens, Permanent Residents (Green Card holders), or Visas not based on employer sponsorship (such as visas sponsored by a spouse or relative).</li>
<li style="line-height: normal; tab-stops: list .75in;">START: ASAP</li>
<li style="line-height: normal; tab-stops: list .75in;">JOB ID: BTF-260405</li>
</ul>
DETAILS:
This role is for a Senior Full Stack AI Engineer focused on building and integrating generative AI and machine learning capabilities into production software applications. The position blends frontend, backend, and data engineering responsibilities, with an emphasis on taking AI models-particularly LLMs-from concept through deployment in scalable systems. The engineer will collaborate closely with cross-functional teams to design AI-enabled features, optimize model performance, and ensure seamless integration into user-facing products. This work supports a data-driven organization that delivers sustainable fuel and freight solutions, leveraging large-scale transportation datasets to improve cost efficiency, transparency, and environmental impact across supply chains.
KEY SKILLS:
<ul>
<li style="line-height: normal;">Tier 1 &ndash; Non-Negotiable (Core AI Capability; 2+ years' experience)
<ul>
<li style="line-height: normal;">Generative AI platforms (GPT-4, Gemini, Llama, Vertex AI)</li>
<li style="line-height: normal;">Model fine-tuning (pre-trained models, applied ML use cases)</li>
<li style="line-height: normal;">Python</li>
</ul>
</li>
<li style="line-height: normal;">Tier 2 &ndash; Core Build &amp; Product Engineering (5+ years as a software engineer)
<ul>
<li style="line-height: normal;">Machine Learning frameworks (TensorFlow, Scikit-learn)</li>
<li style="line-height: normal;">Full-stack development (ReactJS, Node.js)</li>
<li style="line-height: normal;">ETL / Data pipelines</li>
<li style="line-height: normal;">Data platforms (BigQuery, dbt, Apache Beam)</li>
</ul>
</li>
<li style="line-height: normal;">Tier 3 &ndash; Deployment, Scale &amp; Infrastructure
<ul>
<li style="line-height: normal;">Cloud infrastructure (GCP or similar)</li>
<li style="line-height: normal;">Containerization &amp; orchestration (Docker, Kubernetes)</li>
<li style="line-height: normal;">Infrastructure as code/workflow orchestration (Terraform, Airflow)</li>
</ul>
</li>
<li style="line-height: normal;">Tier 4 &ndash; Supporting / Expected Fundamentals
<ul>
<li style="line-height: normal;">SQL</li>
<li style="line-height: normal;">Performance optimization (AI/ML pipelines, inference latency)</li>
</ul>
</li>
</ul>
NICE TO HAVE REQUIREMENTS:
<ul>
<li style="line-height: normal;">JavaScript / TypeScript (if already covered via React/Node, not critical separately) </li>
<li style="line-height: normal;">CI/CD pipelines </li>
<li style="line-height: normal;">DevOps practices (general) </li>
<li style="line-height: normal;">Data modeling / data warehousing concepts </li>
<li style="line-height: normal;">Distributed data systems </li>
<li style="line-height: normal;">Application architecture knowledge (beyond practical experience) </li>
<li style="line-height: normal;">Agile / Scrum / Kanban </li>
<li style="line-height: normal;">Data integration concepts (theoretical vs hands-on)</li>
</ul>
RESPONSIBILITIES:
<ul>
<li style="line-height: normal;">Design and deliver AI/ML-enabled features that enhance product capabilities and user experience </li>
<li style="line-height: normal;">Collaborate with cross-functional teams (engineering, data science, product) to translate business requirements into technical solutions </li>
<li style="line-height: normal;">Contribute to architectural decisions around integrating AI technologies into existing systems </li>
<li style="line-height: normal;">Build and maintain scalable, production-ready software applications incorporating AI/ML components </li>
<li style="line-height: normal;">Troubleshoot and resolve issues related to model performance, system integration, and production behavior </li>
<li style="line-height: normal;">Write and maintain unit and integration tests to ensure the reliability of AI/ML and application components </li>
<li style="line-height: normal;">Continuously evaluate and incorporate emerging AI/ML technologies to drive innovation </li>
<li style="line-height: normal;">Propose and implement AI-driven solutions to solve business problems and improve operational efficiency </li>
<li style="line-height: normal;">Partner with senior engineers to refine development processes and best practices for AI/ML integration </li>
<li style="line-height: normal;">Share knowledge and mentor team members on AI/ML concepts and implementation approaches</li>
</ul>
NOTABLE BENEFITS:
<ul>
<li style="line-height: normal;">Competitive pay commensurate with experience</li>
<li style="line-height: normal;">Bonus (see above for details)</li>
<li style="line-height: normal;">Medical, Dental, Vision, Life insurance, AD&amp;D, Disability, FSA (healthcare/childcare), HSA, 401k</li>
</ul>
HOW TO APPLY:
If you are a motivated and organized individual passionate about Information Technology, we would love to hear from you. To apply, please answer our applicant questions and submit your resume detailing your qualifications and relevant experience. We look forward to hearing from you!
Amplified Sourcing is an equal opportunity employer and will consider all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
&nbsp;

Senior Full Stack Engineer with AI (FTE)

Senior Full Stack Engineer

Senior software engineer with 5+ years, AI/ML focus, full-stack with Python, JavaScript/TypeScript, and cloud infrastructure experience.

<h2>POSITION SUMMARY</h2>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.<h2>JOB RESPONSIBILITIES</h2>Generative AI and Machine Learning Development: <ul><li>Implement and integrate generative AI models and machine learning algorithms into existing and new software solutions. </li><li>Fine-tune and optimize pre-trained AI/ML models for specific use cases. </li><li>Collaborate with engineers and data scientists to build and deploy scalable AI-driven features. </li></ul>Full Stack Development: <ul><li>Write clean, efficient, and maintainable code for AI-powered software applications. </li><li>Contribute to both frontend and backend development tasks as part of a cross-functional team, ensuring seamless integration of AI components. </li></ul>Architectural Design: <ul><li>Work closely with team members and product leads to understand requirements, design AI/ML-enabled features, and contribute to product success. </li><li>Participate in architectural discussions to determine the best ways to incorporate AI technologies into existing systems. </li></ul>Technical Excellence: <ul><li>Actively seek opportunities to learn about emerging AI/ML techniques, tools, and platforms. </li><li>Optimize and refactor code to address performance bottlenecks in AI/ML pipelines. </li><li>Write and execute robust unit and integration tests for AI/ML models and other software components. </li><li>Troubleshoot and resolve issues related to AI/ML model performance and system integration. </li></ul>Innovation: <ul><li>Stay updated on cutting-edge advancements in AI/ML, particularly in generative AI models. </li><li>Propose and implement creative solutions using AI to solve business problems and enhance user experiences. </li></ul>Collaboration: <ul><li>Partner with senior, staff, and principal engineers to refine development processes for AI/ML integration. </li><li>Share knowledge about AI/ML best practices with teammates and mentor junior engineers interested in the field. </li></ul><h2>QUALIFICATIONS</h2><ul><li>Bachelor’s degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience </li><li>7&#43; years as a software or data engineer</li><li>2&#43; years experience in AI/ML engineering</li><li>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. </li><li>Proficiency in multiple programming languages, frameworks, and technologies such as Python, SQL, ReactJS, Node.js, JavaScript, TypeScript, Apache Beam, dbt, and BigQuery. </li><li>Knowledge of application architectures, security best practices, and data integration concepts. </li><li>Exposure to modern infrastructure such as code technologies like Docker, Kubernetes, Terraform, and Airflow. </li><li>Understanding of database concepts, data modeling, and data warehousing principles. </li><li>Understanding of distributed data management systems and related applications.</li><li>Familiarity with public cloud infrastructure design, tools, and strategies.</li><li>Knowledge of software development methodologies including Agile, Kanban, and Scrum.  </li><li>Effective communication skills, with the ability to articulate technical concepts to both technical and non-technical stakeholders. </li></ul>Preferred: <ul><li>Prior experience in a product focused technology team desired.</li><li>Prior experience with technical problem-solving and the ability to navigate complex technical challenges. </li></ul>&amp;#xa;&amp;#xa;DIVISION:Breakthrough&amp;#xa;&amp;#xa;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 <a href="https://www.google.com/search?q&#61;us&#43;venture&amp;rlz&#61;1C1GGRV_enUS748US748&amp;oq&#61;us&#43;venture&amp;aqs&#61;chrome..69i57j0l5.1168j0j8&amp;sourceid&#61;chrome&amp;ie&#61;UTF-8#" target="_blank">(920) 739-6101</a>.&amp;#xa;&amp;#xa;50-57-504-0000

Senior AI Engineer

Senior AI/ML engineer with 7+ years software/data engineering, 2+ years AI/ML experience; strong Python, JS/React, SQL, and cloud tools; ability to build AI-driven full-stack features.

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