AI Engineer Intern - Summer 2026 - SoCal at CLA… · Irvine

Summary: CLA (CliftonLarsonAllen) is seeking an AI Engineering Intern who is eager to learn how real-world AI solutions are designed, built, and deployed. The intern will work closely with senior AI leaders on the hands-on development of scalable AI products, gaining exposure to the full AI lifecycle from data preparation to deployment and continuous improvement. Responsibilities: - Build reusable components for AI workflows under the guidance of senior team members - Prepare and transform data for machine learning, optimization, and LLM applications - Develop and test APIs, pipelines, notebooks, and backend services that support AI solutions - Run experiments, track results, and summarize findings in a clear and structured way - Support model evaluation, prompt evaluation, and error analysis - Help operationalize solutions through deployment packaging, logging, alerting, and basic monitoring - Debug issues across data, model, and application layers - Follow engineering best practices for code quality, testing, documentation, and security - Stay current on relevant Azure AI, Databricks, and applied AI tooling Required Qualifications: - Working towards the achievement of a Bachelor's degree in computer science, data science, statistics, engineering, mathematics, or a related field strongly preferred - Basic understanding of cloud-based AI and data platforms (e.g., Azure AI services, Azure ML, Databricks) - Familiarity with common generative AI concepts such as prompt design, retrieval-augmented generation (RAG), and evaluations - Introductory awareness of MLOps concepts, including model lifecycle, deployment, and monitoring - General knowledge of vector search, document processing, and AI-enabled search workflows - Exposure to applied modeling concepts (e.g., time series or anomaly detection) and building simple APIs or backend services - Reliable transportation Required Skills: Python, Machine Learning, Applied AI Techniques, Cloud-based AI Platforms, Azure AI Services, Azure ML, Databricks, Generative AI Concepts, Prompt Design, Retrieval-Augmented Generation, MLOps, Model Lifecycle, Model Deployment, Model Monitoring, Vector Search, Document Processing, AI-enabled Search Workflows, Applied Modeling Concepts, Time Series Analysis, Anomaly Detection, API Development, Backend Services, Honesty, Conscientiousness, Trust Internship Start Date: Start in 2026 Summer Benefits: Health, Dental, Vision, 401k, Much more