Senior AI Engineer

U.S. Venture, Inc. • Green Bay, WI

1d • Hybrid

About The Position

Join the Breakthrough Engineering team as a Senior AI Engineer, focusing on generative AI and machine learning. This role involves designing, developing, and maintaining full-stack software solutions, integrating AI/ML technologies to enhance products and services within the freight industry. Breakthrough is building agentic AI to reason through complex, customer-specific freight scenarios, operating reliably in workflows with real financial stakes. This is a production-focused role, not research, where you will build agentic systems from the ground up alongside engineers, product managers, and domain experts. Key problem areas include designing agent reasoning for complex freight scenarios, solving entity resolution and data integration across diverse sources, building evaluation and reliability frameworks for agent decisions, and defining orchestration patterns for platform-wide agentic capability. You will work with proprietary freight data and influence user interactions with agents. The position is available for on-site work in Green Bay or remote/hybrid options.

Requirements

• 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.

Nice To Haves

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

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.

Benefits

• 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.
• Assistance or accommodation due to a disability.
• Positive culture and team member experiences (Great Place to Work-Certified™).

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 501-1,000 employees