GenAI Engineer

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.