AI Engineering Intern
About The Position
As an AI Engineer Intern, you'll join a global team of engineers and product professionals working on AI-enabled digital solutions transforming P&C insurance. This internship provides hands-on exposure to three core disciplines: applied AI/ML, production AI/LLM systems engineering, and agentic AI systems. You'll contribute to real projects across the AI product lifecycle, from model experimentation to production support, while learning from experienced engineers in a fast-paced enterprise environment. This position offers a unique opportunity to gain hands-on experience building production AI systems at enterprise scale while contributing to Chubb's AI-driven transformation. We expect our AI engineers to be AI-native in how they work. You should be comfortable using AI-powered coding tools (e.g., GitHub Copilot, Cursor, Claude Code) and agentic development environments to accelerate your workflow, debug problems, and explore solutions.
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
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What This Job Offers
Career Level
Intern
Education Level
No Education Listed
