Intern, AI Engineering-2 at Cast & Crew in Location not listed

Summary: Cast & Crew is a leading provider of technology and services for the entertainment industry. They are seeking an AI Engineering Intern to gain hands-on experience in building AI-powered applications that support critical workflows, working alongside experienced engineers and product managers. Responsibilities: - Assist in developing AI-powered applications using Large Language Models (LLMs), machine learning models, and generative AI tools - Support the implementation of Retrieval-Augmented Generation (RAG) workflows and vector-based search solutions - Contribute to backend and full-stack development using Python and/or TypeScript - Help build and test APIs that integrate AI services with internal applications - Assist in developing and optimizing data ingestion and ETL/ELT pipelines - Work with engineers to integrate structured and unstructured data sources into AI systems - Participate in code reviews, sprint planning, stand-ups, and other agile ceremonies - Support documentation of architecture, workflows, and technical decisions - Help monitor application performance, troubleshoot issues, and improve system reliability - Collaborate with cybersecurity and data teams to understand enterprise security and governance standards Required Qualifications: - Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field - Foundational programming skills in Python (preferred) or TypeScript/JavaScript - Basic understanding of APIs, RESTful services, and web application architecture - Familiarity with AI/ML concepts such as embeddings, model inference, or prompt engineering - Exposure to databases (SQL or NoSQL) and data processing concepts - Understanding of Git and version control best practices - Strong analytical and problem-solving skills - Curiosity about emerging AI technologies and a desire to continuously learn - Strong communication skills and ability to collaborate in a team environment Preferred Qualifications: - Exposure to cloud platforms such as Azure, AWS, or GCP - Familiarity with vector databases or semantic search tools - Experience with Docker or basic containerization concepts - Understanding of data governance, security, or compliance fundamentals - Experience working on academic or personal AI/ML projects - Knowledge of CI/CD pipelines or automated testing practices Required Skills: AI-powered applications, Python, Machine learning Important Skills: APIs, Data pipelines, Cloud platforms Nice-to-Have Skills: Analytical skills Benefits: Medical, Dental, Vision, PTO, Health and wellness programs, Employee discounts, And more!