Rackspace

QA Engineer Intern

Job Description

About the Role
As a QA Engineer Intern (AI User Acceptance Testing & Automation), you will play a critical role in ensuring the quality and reliability of our AI-driven products. You will work closely with engineers and data scientists to design, implement, and automate user acceptance testing for AI applications. This is an excellent opportunity to learn about AI testing methodologies and industry best practices. Experience testing LLMs and AI agent integrations is highly desirable.


Key Responsibilities
  • Develop and execute test cases for AI-based applications and interfaces.
  • Automate testing workflows to enhance efficiency and reliability.
  • Identify, document, and track software defects.
  • Collaborate with product teams to improve AI model validation strategies.
  • Ensure AI systems meet user acceptance and compliance requirements.
  • Test and validate integrations with LLMs and AI agents.
  • Full-time availability
  • Advanced proficiency in English is required

    • Qualifications
  • Recent graduate in Computer Science, Engineering, or related fields.
  • Understanding of software testing methodologies and QA best practices.
  • Experience with Python, Selenium, or other automation frameworks is a plus.
  • Knowledge of AI bias, hallucinations, and model validation is beneficial.
  • Experience working with LLMs and AI agent integration is preferred.
  • Strong preference for candidates with experience in OpenAI and Azure environments.

    • Why Join Us?
  • Gain real-world experience in AI product quality assurance.
  • Learn advanced automation testing frameworks and methodologies.
  • Work with experienced AI and product development professionals.
  • Potential opportunity for a full-time role post-internship.

    • Apply Now
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