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.
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:
BreakthroughU.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.
50-57-504-0000Skills Required
- Bachelor's degree in Computer Science or related technical field 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 like TensorFlow, Scikit-learn
- Proficiency in multiple programming languages such as Python, SQL, ReactJS
- Knowledge of application architectures and data integration concepts
- Exposure to modern infrastructure technologies like Docker and Kubernetes
- Understanding of database concepts and data warehousing principles
What We Do
U.S. Venture Partners (USVP) is a leading Silicon valley-based venture capital firm, helping entrepreneurs build world-class companies since 1981. U.S. Venture Partners (USVP), is a venture capital investment firm headquartered in Menlo Park, California in the heart of Silicon Valley focusing on investments in an array of segments including enterprise software, cyber security, consumer, e-commerce, healthcare, and IT-enabled healthcare services. Since its inception USVP has invested $3.9 billion in over 498 companies across a broad range of industries, of which 89 have completed an initial public offering. The firm is currently investing out of its twelfth fund, USVP XII. The USVP team foundation is grounded in four generations of high-technology venture investing and are accomplished venture investors, former CEOs, senior executives and technology company founders that committed to taking an exemplary firm into the 21st century. USVP personnel make up and the firms heritage combine to make us part of the company building process. In many situations the USVP board partner is the first call the entrepreneur makes when faced with strategic decisions, daily challenges and personal support, knowing that we will be there to provide the counsel needed, which is grounded in decades of experience and understanding of our role as coaches and confidantes. The investment team is composed of Casey Tansey, Steve Krausz, Jonathan Root, Rick Lewis, Jacques Benkoski, and Dafina Toncheva. USVP has invested in many world-changing companies, including: Box, Castlight Health, Check Point Software, Concur, GoPro, Guidewire Software, HotelTonight, Imperva, InsideSales.com, Intersect ENT, Omada Health, OncoMed, SanDisk, Sun Microsystems, Threatmetrix, Trunk Club, Trusteer, Yammer, and Zerto. Visit our website for a complete list of investments, portfolio company news and more information on our firm: www.usvp.com. Like us on Facebook and visit us on Twitter: @USVP_








