Princess Cruises
From Princess Cruises's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
We are seeking a motivated and enthusiastic eCommerce Engineering Intern to join our team as we build the next generation of AI-powered and agentic commerce experiences. The ideal candidate will have exposure to React, Java, web development, and eCommerce technologies, along with a strong curiosity for generative AI, large language models (LLMs), and AI agents. The intern will work inside an Agentic POD, a small cross-functional team where engineers partner with AI coding and testing agents to design, build, and ship features faster. This internship offers a unique opportunity to gain practical experience in modern, AI-assisted software development, working alongside experienced professionals in a supportive and engaging environment.
Assist in the development and maintenance of web applications using React and Java, leveraging AI coding assistants and agents (e.g., Claude Code, GitHub Copilot) to accelerate design, coding, and refactoring.
Collaborate with the development team to build and enhance eCommerce and agentic commerce solutions, including agent-ready APIs, MCP servers/tools, and structured cruise, pricing, and itinerary data that allow AI assistants and agents to search, compare, and book vacations.
Participate in Agentic POD operations: write clear specifications and prompts, orchestrate AI agents for coding, test generation, and code review, and critically review, validate, and refine AI-generated output before it is merged.
Participate in the design, coding, testing, and debugging of software applications, including AI-assisted test automation and evaluation of AI features (accuracy, evals, and guardrails).
Contribute to the creation and optimization of web interfaces and user experiences, including conversational and AI-powered guest experiences such as AI vacation search and booking assistance.
Assist with troubleshooting and resolving technical issues, including monitoring AI agent workflows and following responsible AI, data privacy, and security practices.
Support documentation (prompt libraries, agent playbooks, runbooks) and project management tasks, and stay current with emerging AI, agentic commerce, and industry trends to apply new techniques and tools.
High School Diploma/GED
Bachelor’s Degree
Engineering, Computer Science/Math, Artificial Intelligence/Machine Learning, Data Science
Preferred, not required: coursework or certifications in AI/ML or generative AI (e.g., cloud AI fundamentals, LLM application development).
Currently pursuing or recently completed a degree in Computer Science, Information Technology, or a related field.
Basic understanding of React and Java, with practical experience through coursework, projects, or previous internships.
Exposure to eCommerce platforms and technologies is a plus.
Exposure to generative AI and LLMs through coursework, personal projects, hackathons, or prior internships.
Experience with version control systems (e.g., Git).
Preferred: experience with Python and/or TypeScript and calling LLM APIs (e.g., Anthropic, OpenAI, Azure OpenAI, AWS Bedrock).
Familiarity with web development technologies (HTML, CSS, JavaScript).
Strong problem-solving skills and attention to detail.
Familiarity with AI coding assistants (e.g., Claude Code, GitHub Copilot, Cursor) and interest in agentic software development.
Knowledge of RESTful APIs and web services.
Understanding of responsive design and cross-browser compatibility.
Familiarity with Agile methodologies.
Preferred: understanding of prompt engineering, retrieval-augmented generation (RAG), and AI agent concepts such as tool use, Model Context Protocol (MCP), and multi-agent orchestration.
Preferred: interest in agentic commerce, including how AI agents discover products and complete transactions on behalf of customers.
Awareness of responsible AI practices, including data privacy, security, and validation of AI-generated output.
Excellent communication skills and the ability to work collaboratively in a team environment.
Eagerness to learn and adapt to new challenges.
Curiosity and critical thinking: willingness to experiment with AI tools while applying sound judgment to review and own the final result.
Summer 2027 Internship Program
Are you ready to set sail on an exceptional career journey? Carnival Corporation’s North America Internship Program offers students the opportunity to contribute to meaningful work, build professional skills, and gain firsthand exposure to the cruise and travel industry.
Each intern is hired into and works directly with one brand, department, and team while participating in a shared, location-based internship experience with interns from across Carnival Corporation’s North America brands.
Program Details
Program Length: 10 weeks
Schedule: Full-time, 40 hours per week
Work Arrangement: In-office
East Coast Cohort: June 1–August 5, 2027, based in Doral or Fort Lauderdale, Florida
West Coast Cohort: June 14–August 20, 2027, based in Seattle, Washington
Candidates must be available for the full dates of the cohort associated with their internship location. Limited time away may be accommodated, but candidates should not anticipate missing more than two to three workdays. Any extended vacation or significant scheduling conflict should be discussed during the recruitment process.
Your Internship Experience
Meaningful Work: Contribute to real projects and business priorities while gaining exposure to the day-to-day work of the assigned team.
Professional Development: Participate in structured learning opportunities designed to strengthen workplace, career, and leadership skills.
Mentorship and Support: Receive guidance, feedback, and support from leaders and professionals throughout the experience.
Networking: Build relationships with fellow interns, employees, and leaders across participating brands and functions.
Cohort Experience: Participate in location-based programming and activities with interns from across Carnival Corporation.
Project Showcase: Present internship work, outcomes, and key learnings as part of a location-based showcase at the conclusion of the program.
The internship program is designed to develop future talent and provide students with meaningful exposure to the organization. Strong performance may lead to consideration for future full-time, rotational, or other Emerging Talent opportunities based on business needs and available positions; however, participation does not guarantee future employment.
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