AI Engineer Intern at Chubb · Exchange…

Summary: Chubb is a world leader in insurance, and they are seeking an AI Engineer Intern to join their global team. This internship provides hands-on exposure to applied AI/ML, production AI systems engineering, and agentic AI systems, contributing to real projects across the AI product lifecycle. Responsibilities: - Assist AI engineers in building and testing ML/AI solutions for business challenges in cloud environments - Support experimentation with LLM techniques including prompt engineering, fine-tuning workflows, and evaluation methods - Help curate and prepare datasets for model training and evaluation - Write and maintain Python scripts for data processing, model inference, and pipeline automation - Contribute to building and testing AI service components including APIs, inference pipelines, and integration layers - Assist with prompt management, versioning, and testing workflows - Support documentation and testing of AI system integrations - Learn production engineering practices including containerization (Docker), version control, and CI/CD workflows - Explore agentic AI frameworks (e.g., LangChain, CrewAI, AutoGen) through guided prototyping projects - Assist in testing agent behaviors, tool integrations, and multi-step workflows - Support evaluation and observability efforts including prompt tracing and performance logging - Document findings and contribute to internal knowledge sharing - Write clean, well-documented code following team standards and guidelines - Participate in code reviews (as reviewer and reviewee) to develop engineering judgment - Communicate progress, blockers, and learnings clearly to mentor and team - Complete a capstone project demonstrating skills developed during the internship Required Qualifications: - Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related technical field - Proficiency in Python programming (coursework, personal projects, or prior internship experience) - Foundational understanding of machine learning concepts (supervised/unsupervised learning, neural networks, model evaluation) - Familiarity with version control systems (Git) - Comfortable using AI-powered coding assistants (e.g., GitHub Copilot, Cursor, Claude) as part of your development workflow - Strong problem-solving skills and attention to detail - Intellectual curiosity and eagerness to learn in a fast-paced environment Preferred Qualifications: - Exposure to ML frameworks and libraries (PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn) Required Skills: Python, Machine Learning, AI-powered coding tools Important Skills: Version Control (Git), ML frameworks Nice-to-Have Skills: Intellectual curiosity Benefits: Chubb offers a comprehensive benefits package