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Senior AI Engineer

Job in Green Bay, Brown County, Wisconsin, 54311, USA
Listing for: Beacon Technologies
Full Time position
Listed on 2026-10-05
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

Beacon Technologies is seeking a talented and experienced Senior AI Engineer for our client partner. This senior level engineer with a background in generative AIandmachine learningwilljoin our client's 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 products and services. You’ll join a team of engineers, product managers, and domain experts building production agentic systems from the ground up.

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.

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.
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 ADK, Lang Chain/Graph, Anthropic, GPT, Gemini, Llama, Vertex, Tensor Flow, 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, Type Script, Apache Beam, dbt, and Big Query.
  • Knowledge of application architectures, security best practices, and data integration concepts.
  • Exposure to modern infrastructure such as code technologies like Docker, Kubernetes, Terraform, and…
Position Requirements
10+ Years work experience
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