Full Stack AI Engineer

Overview

Acuity Inc. (NYSE: AYI) is a market-leading industrial technology company. We use technology to solve problems in spaces, light and more things to come. Through our two business segments, Acuity Brands Lighting (ABL) and Acuity Intelligent Spaces (AIS), we design, manufacture, and bring to market products and services that make a valuable difference in people’s lives. We achieve growth through the development of innovative new products and services, including lighting, lighting controls, building management solutions, and an audio, video and control platform.

We focus on customer outcomes and drive growth and productivity to increase market share and deliver superior returns. We look to aggressively deploy capital to grow the business and to enter attractive new verticals. Acuity Inc. is based in Atlanta, Georgia, with operations across North America, Europe and Asia. The Company is powered by approximately 13,000 dedicated and talented associates.

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Job Summary

We are seeking an exceptional Full Stack AI Engineer to join our team and drive the development of cutting-edge AI-powered applications. In this role, you will design, build, and deploy production-grade AI systems, with a particular focus on Generative AI, Retrieval-Augmented Generation (RAG), and agentic architectures. You will work at the intersection of software engineering and artificial intelligence, creating scalable solutions that deliver real impact to the business.

You will work directly with business stakeholders to understand requirements and translate them into technical solutions, and you will have full ownership over the projects you build from conception to deployment. Position to be Hybrid out of Costa Mesa, CA or Atlanta, GA.

• Build and Deploy GenAI Solutions:
  Design, develop, and optimize generative AI applications, including RAG pipelines and agentic systems that leverage Large Language Models (LLMs)
• Machine Learning Development:
  Build and deploy traditional machine learning models using frameworks like XGBoost, Random Forest, and other ML algorithms based on business requirements and use cases
• Full Stack Development:
  Create end-to-end AI-powered applications using modern frameworks like FastAPI for backend services and React or Streamlit for intuitive user interfaces
• Production AI Systems:
  Deploy AI models into production environments and build robust systems that monitor performance, automate retraining, and ensure reliability at scale
• Cloud Architecture:
  Leverage Azure cloud services to build scalable, secure, and cost-effective AI infrastructure
• LLM Integration:
  Implement advanced LLM capabilities including prompt engineering, embeddings, fine-tuning, and API integrations to create intelligent applications
• Containerization & Dev Ops:
  Design and deploy containerized applications using Docker, ensuring consistent and reproducible deployments across environments
• Problem Solving:
  Identify, analyze, and resolve complex technical challenges, optimizing for performance, scalability, and exceptional user experience
• Cross-Functional Collaboration:
  
  Partner closely with product managers, designers, data scientists, and engineers to deliver innovative AI solutions that meet business objectives
• Technical Communication:
  Translate complex AI and technical concepts into clear, actionable insights for both technical and non-technical stakeholders

• Bachelor s degree in Computer Science, Software Engineering, or related technical discipline with 4+ years of proven software development experience, OR Master s degree with 2+ years of experience
• Strong programming skills in Python and Java, with excellent software design and development capabilities
• Hands-on experience with Generative AI and machine learning frameworks (e.g., Tensor Flow, PyTorch, Lang Chain, Llama Index)
• Solid understanding of LLM concepts, including embeddings, prompt engineering, fine-tuning, and model evaluation
• Demonstrated experience building RAG (Retrieval-Augmented Generation) systems and agentic architectures
• Experience with Azure cloud services (or similar cloud…