AI Engineer Intern

JOB DESCRIPTION

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.

Key Responsibilities

Applied AI/ML


* 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

Production AI Systems


* 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

Agentic AI Systems


* 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.

General Engineering Practices


* 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

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)


* Familiari...