Senior AI Engineer (Breakthrough)

US VENTURE INC; Green Bay (WI); On-site; USD 100,000 - 130,000; Full time

Job summary

US VENTURE INC seeks a Senior AI Engineer to join their Breakthrough Engineering team in Green Bay, WI. You will design and develop full-stack software solutions integrating AI/ML technologies. Responsibilities include implementing generative AI models, writing maintainable code, and collaborating in product architecture discussions. This role requires significant experience in software engineering and AI/ML. Remote/hybrid options are available. Join us in revolutionizing freight management with cutting-edge technology.

Qualifications

• 7+ years as a software or data engineer with experience in AI/ML engineering.
• Proficiency in multiple programming languages, frameworks, and technologies.
• Effective communication skills with the ability to articulate technical concepts.

Responsibilities

• Implement generative AI models and machine learning algorithms.
• Write efficient code for AI-powered applications.
• Design AI/ML-enabled features with product leads.

Skills

Generative AI

Machine Learning

Software Development

Data Integration

Python

SQL

ReactJS

Docker

Kubernetes

Agile

Education

Bachelor’s degree in Computer Science or related field

Tools

TensorFlow

Apache Beam

BigQuery

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.

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 SDK, 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 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 [phone].