GenAI Engineer - Glendale WI - Local Candidates Only

We are seeking an experienced GenAI Engineer to design, develop, and deploy AI/ML solutions that create measurable value for customers and operators while helping engineering teams adopt modern AI practices and tooling.

Key Responsibilities

• Design, build, and deploy AI/ML models and GenAI capabilities across cloud, edge, and on-premises environments.

• Develop LLM-powered features including operator copilots, intelligent alarm analysis, automated recommendations, and natural-language interfaces.

• Integrate AI capabilities into existing smart building products and platforms.

• Develop scalable inference and deployment architectures for production AI workloads.

• Partner with software engineering and product teams to translate business requirements into AI-enabled solutions.

• Monitor, evaluate, and continuously improve model performance, reliability, and accuracy.

• Identify and implement AI-assisted developer tools to improve software delivery velocity.

• Leverage AI for code generation, software testing, code reviews, and CI/CD workflows.

• Establish AI engineering best practices, standards, and governance.

• Mentor engineers on AI technologies, frameworks, and implementation strategies.

• Evaluate emerging AI tools and technologies and recommend opportunities for adoption.

• Promote responsible and practical use of AI throughout the software development lifecycle.

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field.

• 7+ years of software engineering experience with a strong foundation in modern development practices.

• 5+ years of hands-on experience developing and deploying machine learning solutions.

• Strong Python experience and familiarity with AI/ML frameworks such as PyTorch, TensorFlow, or Scikit-learn.

• Experience building and integrating Generative AI and Large Language Model (LLM) solutions.

• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.

• Strong understanding of software architecture, APIs, data pipelines, and production deployment practices.

• Excellent communication and collaboration skills.

Preferred Qualifications

• Experience with Retrieval-Augmented Generation (RAG), vector databases, and prompt engineering.

• Experience deploying AI solutions in edge or IoT environments.

• Knowledge of MLOps practices, model monitoring, and AI governance.

• Familiarity with Building Automation Systems (BAS), industrial controls, IoT, or smart building technologies.

• Experience supporting Agile/Scrum development teams.

Why Join Us?

• Shape the future of AI-enabled smart buildings.

• Work on real-world challenges in mission-critical environments.

• Influence both product innovation and engineering transformation.

• Collaborate with software engineers, data scientists, and product leaders.

• Drive meaningful business impact through AI and machine learning solutions.