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# Senior AI Engineer (Breakthrough)

- **Company:** U.S. Venture, Inc.
- **Location:** Green Bay, WI, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, JavaScript (Programming Language), Agile Methodology, Artificial Intelligence, Airflow, Applications Architecture, Software Applications, BigQuery, Data Integration, Data Warehousing, Database Theory, Distributed Data Store, Python (Programming Language), Machine Learning, Node.Js, Scrum Methodology, Tensorflow, Software Engineering, Software Systems, SQL Databases, Systems Integration, TypeScript, Reinforcement Learning, ReactJS, Generative AI, Backend, Build Management, Scikit Learn, Kubernetes, Information Technology, Machine Learning Operations, Front End Software Development, Google Gemini, Terraform, GPT, Apache Beam, Docker, Programming Languages
- **Published:** October 26, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3468262728&tx=YT1515TTD&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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.

## Description

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., 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.