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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. Visit us at www.acuityinc.com .

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'll 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.

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. For a list of our benefits, click** **here** **.

We value diversity and are an equal opportunity employer.  All qualified applicants will be considered for employment without regards 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.

Please click here (https://www.eeoc.gov/poster) and here (https://www.e-verify.gov/sites/default/files/everify/posters/IER\_RightToWorkPoster%20Eng\_Es.pdf) for more information.

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.

Any unsolicited resumes sent to Acuity Inc. from a third party, such as an Agency recruiter, including unsolicited resumes sent to an Acuity Inc. mailing address, fax machine or email address, directly to Acuity Inc. employees, or to Acuity Inc. resume database will be considered Acuity Inc. property. Acuity Inc. will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

Acuity Inc. will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. This includes any Agency that is an approved/engaged vendor, but does not have the appropriate approvals to be engaged on a search.

E-Verify Participation Poster (https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf)

e-verify.gov

eeoc.gov (https://www.eeoc.gov/employees-job-applicants)