GenAI Engineer 1 of 1

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.