GenAI Engineer (Local to WI)

Job Description:
Pillar 1:

• Build AI-Powered Products As a technical contributor, you will design, develop, and deploy AI/ML solutions that create measurable value for customers and operators.

Responsibilities Include:

• 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 needs into AI-enabled solutions. Monitor, evaluate, and continuously improve model performance, reliability, and accuracy.

Pillar 2:

• Accelerate Team Capability & Velocity As an AI advocate and technical leader, you will help the broader engineering organization adopt modern AI practices and tooling.

Responsibilities include: 

• Identify and implement AI-assisted developer tools that improve software delivery velocity. 
• Leverage AI to enhance code generation, software testing, code reviews, and CI/CD workflows. 
• Establish AI engineering best practices, standards, and governance across teams.
• Mentor engineers on AI technologies, frameworks, and implementation strategies. 
• Evaluate emerging AI tools and technologies and recommend opportunities for adoption. 
• Drive the responsible and practical use of AI throughout the software development lifecycle. 

Qualifications Required:

• 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. 
• Experience with Python and common AI/ML frameworks such as PyTorch, TensorFlow, or Scikit-learn. 
• Experience building and integrating Generative AI and Large Language Model (LLM) solutions. 
• Familiarity 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 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 a highly skilled, cross-functional team of software engineers, data scientists, and product leaders.
• Drive meaningful business impact through cutting-edge AI and machine learning solutions. 
• If you're passionate about applying AI to solve complex operational challenges and want to help build the next generation of intelligent building technology, we'd love to hear from you.