Hybrid Full Stack AI Engineer

at Acuity

• Job title: Full Stack AI Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $133,100 - $239,600 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Azure, Cloud, Docker, ETL, Java, Microservices, NoSQL, Python, PyTorch, React, SQL, Tensorflow
• Location requirements: Hybrid, Costa Mesa, United States

About the role

• Full Stack AI Engineer developing cutting-edge AI-powered applications at Acuity Inc. Designing, building, and deploying generative AI solutions with cross-functional collaboration.

Responsibilities

• 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

Requirements

• 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

Benefits

• health care
• dental coverage
• vision plans
• 401K benefits
• commissions/incentive compensation