Senior AI Engineer
Listed on 2026-10-05
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
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.
- 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…
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