Co-Op 2026 – Software Engineering – XiO Cloud (AI Engineering)

About the role#

This Co-Op position within the XiO Cloud Engineering team offers the opportunity to contribute to AI-powered capabilities for an enterprise-grade, cloud-based platform. You will work alongside experienced engineers to develop, test, and evaluate intelligent application features and automation solutions. This role is designed to provide hands-on experience with Python development, large language models, and agentic technologies in a collaborative environment.

What you'll do#

• Contribute to projects supporting AI-powered capabilities within the XiO Cloud platform.
• Develop and evaluate AI-powered workflows and intelligent application features using Python.
• Support the development and testing of LLM-based agent workflows and automation solutions.
• Integrate AI services and APIs into enterprise software applications.
• Participate in software testing, debugging, prompt evaluation, and quality assurance activities.
• Execute tests to support the reliability and performance of AI-enabled features.
• Document technical findings, implementation details, evaluation results, and test outcomes.
• Participate in code reviews, Agile ceremonies, and technical design discussions.

What you'll need#

• Enrollment in an accredited college or university pursuing a Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Artificial Intelligence, Data Science, or a related field.
• Strong programming fundamentals, including an understanding of data structures and algorithms.
• Coursework or project experience using Python.
• Familiarity with version control using Git.
• Exposure to artificial intelligence, machine learning, generative AI, or natural language processing concepts.
• Basic understanding of APIs and software integration.
• Strong analytical, critical-thinking, and communication skills.
• Ability to work independently and manage assigned tasks effectively.

Location & details#

• Term: Summer 2026 and Fall 2026.
• Work Modality: 100% on-site.
• Locations: Rockleigh, New Jersey or Boston, Massachusetts.
• Status: Paid, full-time position.