Position Overview

The Context Engineering Intern within our Innovation Team is a part-time position focused on using cutting-edge AI programming tools to test, build, and deploy creative solutions. This role emphasizes AI-assisted problem solving and the practice of Professional Context Engineering, with a primary focus on quality assurance testing.

The Intern will work closely with the Innovation Team to design and run AI-driven QA workflows—including smoke tests, end-to-end tests, user acceptance testing (UAT), and automated regression testing—using tools such as Playwright. Development work is a secondary responsibility, with the Intern contributing to bug fixes, feature enhancements, and small-scale applications as needed, while continuously learning and adapting to new AI tools and workflows.

Key Responsibilities:

• Design, build, and maintain AI-assisted QA testing workflows, including smoke tests and end-to-end coverage using tools such as Playwright.
• Plan and execute user acceptance testing (UAT) to confirm features work as intended from the end user’s perspective.
• Diagnose issues, troubleshoot errors, and document defects discovered through QA testing using AI-assisted workflows.
• Leverage AI programming tools and software to design and implement creative solutions.
• Contribute to development work as needed, including bug fixes, small features, and prototype enhancements.
• Collaborate with team members to explore innovative approaches to quality assurance and problem solving.
• Stay current with AI tools, practices, and advancements to ensure solutions are built on the latest capabilities.

Qualifications:

• Currently enrolled in an undergraduate college program.
• Strong interest and comfort in working with AI and AI-assisted programming tools. Experience working with AI and AI-assisted programming tools preferred
• Excellent problem-solving ability and the capacity to think creatively and strategically.
• Detail oriented, with a strong focus on accuracy and thoroughness.
• Independent worker with strong initiative and self-motivation.
• Eagerness to experiment, learn, and adapt to new technologies.
• (Preferred but not required) Exposure to software development concepts, workflows, or tools.

Ideal Candidate

The ideal Context Engineering Intern thrives at the intersection of creativity and technology. They are not limited by traditional programming paradigms but instead excel in guiding and shaping AI to produce reliable, well-tested, deployable solutions. They enjoy experimentation, embrace new tools quickly, and are driven to find innovative ways to ensure quality, solve problems, and deliver value.