Acuity
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Full Stack AI Engineer
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Acuity Acuity Inc. (NYSE: AYI) is a market‑leading industrial technology company that designs, manufactures and markets products and services through its two business segments, Acuity Brands Lighting (ABL) and Acuity Intelligent Spaces (AIS). The company focuses on customer outcomes, innovative solutions—including lighting, lighting controls, building management, and audio/video‑control platforms—and aggressive capital deployment to grow the business. Location: Hybrid out of Costa Mesa, CA or Atlanta, GA. Job Summary
We are seeking an exceptional Full Stack AI Engineer to design, build, and deploy production‑grade AI systems, focusing on Generative AI, Retrieval‑Augmented Generation (RAG), and agentic architectures. The role blends software engineering with artificial intelligence, delivering scalable solutions that have real business impact. You will work directly with business stakeholders to translate requirements into technical solutions and own projects from conception to deployment. Key Tasks & Responsibilities (Essential Functions)
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 & DevOps: 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 Skills And Minimum Experience Required
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., TensorFlow, PyTorch, LangChain, LlamaIndex) 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 services) and cloud‑native application development Proficiency with containerization technologies, particularly Docker Experience building APIs and microservices using FastAPI or similar frameworks Front‑end development experience with React or Streamlit Proven track record deploying AI models into production and building automated monitoring and retraining pipelines Strong version control skills using Git and collaborative development workflows Ability to work effectively in cross‑functional teams and communicate technical concepts clearly Familiarity with data pipelines, databases (SQL/NoSQL), and ETL/ELT processes Preferred Skills And Experience
Demonstrated experience building applications or features with Large Language Models (LLMs) or AI APIs through professional work, personal projects, open‑source contributions, or hackathons Experience with additional AI frameworks and tools (e.g., Hugging Face, OpenAI API, Anthropic Claude API) Knowledge of vector databases (e.g., Pinecone, Qdrant, Azure AI Search) Experience with MLOps practices and tools (e.g., MLflow, Weights & Biases) Understanding of Kubernetes and orchestration platforms Experience with A/B testing and experimentation frameworks for AI systems Knowledge of responsible AI practices, including bias detection, fairness, and safety considerations The range for this position is $133,100.00 to $239,600.00. Placement within this range may vary, depending on the applicant’s experience and geographic location. Acuity offers generous benefits including health care, dental coverage, vision plans, 401K benefits, and commissions/incentive compensation depending on the role. We value diversity and are an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, age, gender, sexual orientation, gender identity and expression, ethnicity or national origin, disability, pregnancy, religion, covered veteran status, protected genetic information, or any other characteristic protected by law. Accommodation for Applicants with Disabilities: As an equal opportunity employer, Acuity Inc. is committed to providing reasonable accommodations in its application process for qualified individuals with disabilities and disabled veterans. If you have difficulty using our online system due to a disability and need an accommodation, you may contact us at (770) 922‑9000, select option 4. Please clearly indicate what type of accommodation you are requesting and for what requisition. Seniority level: Mid‑Senior level Employment type: Full‑time Job function: Information Technology Industries: Appliances, Electrical, and Electronics Manufacturing
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Full Stack AI Engineer
role at
Acuity Acuity Inc. (NYSE: AYI) is a market‑leading industrial technology company that designs, manufactures and markets products and services through its two business segments, Acuity Brands Lighting (ABL) and Acuity Intelligent Spaces (AIS). The company focuses on customer outcomes, innovative solutions—including lighting, lighting controls, building management, and audio/video‑control platforms—and aggressive capital deployment to grow the business. Location: Hybrid out of Costa Mesa, CA or Atlanta, GA. Job Summary
We are seeking an exceptional Full Stack AI Engineer to design, build, and deploy production‑grade AI systems, focusing on Generative AI, Retrieval‑Augmented Generation (RAG), and agentic architectures. The role blends software engineering with artificial intelligence, delivering scalable solutions that have real business impact. You will work directly with business stakeholders to translate requirements into technical solutions and own projects from conception to deployment. Key Tasks & Responsibilities (Essential Functions)
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 & DevOps: 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 Skills And Minimum Experience Required
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., TensorFlow, PyTorch, LangChain, LlamaIndex) 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 services) and cloud‑native application development Proficiency with containerization technologies, particularly Docker Experience building APIs and microservices using FastAPI or similar frameworks Front‑end development experience with React or Streamlit Proven track record deploying AI models into production and building automated monitoring and retraining pipelines Strong version control skills using Git and collaborative development workflows Ability to work effectively in cross‑functional teams and communicate technical concepts clearly Familiarity with data pipelines, databases (SQL/NoSQL), and ETL/ELT processes Preferred Skills And Experience
Demonstrated experience building applications or features with Large Language Models (LLMs) or AI APIs through professional work, personal projects, open‑source contributions, or hackathons Experience with additional AI frameworks and tools (e.g., Hugging Face, OpenAI API, Anthropic Claude API) Knowledge of vector databases (e.g., Pinecone, Qdrant, Azure AI Search) Experience with MLOps practices and tools (e.g., MLflow, Weights & Biases) Understanding of Kubernetes and orchestration platforms Experience with A/B testing and experimentation frameworks for AI systems Knowledge of responsible AI practices, including bias detection, fairness, and safety considerations The range for this position is $133,100.00 to $239,600.00. Placement within this range may vary, depending on the applicant’s experience and geographic location. Acuity offers generous benefits including health care, dental coverage, vision plans, 401K benefits, and commissions/incentive compensation depending on the role. We value diversity and are an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, age, gender, sexual orientation, gender identity and expression, ethnicity or national origin, disability, pregnancy, religion, covered veteran status, protected genetic information, or any other characteristic protected by law. Accommodation for Applicants with Disabilities: As an equal opportunity employer, Acuity Inc. is committed to providing reasonable accommodations in its application process for qualified individuals with disabilities and disabled veterans. If you have difficulty using our online system due to a disability and need an accommodation, you may contact us at (770) 922‑9000, select option 4. Please clearly indicate what type of accommodation you are requesting and for what requisition. Seniority level: Mid‑Senior level Employment type: Full‑time Job function: Information Technology Industries: Appliances, Electrical, and Electronics Manufacturing
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