AI 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 AI and machine learning will join 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., * 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.