Why This Role Stands Out
This hybrid role offers a fantastic opportunity to shape the future of Generative AI applications, developing critical skills in a cutting-edge field. You'll thrive here if you possess a strong background in QA and a passion for validating AI outputs, contributing to a reputable company's innovative projects. Apply now to be at the forefront of AI quality assurance!
Quick Overview
Job Description
Job Description
We are seeking experienced Gen AI Testers to join our team for a long-term engagement. The ideal candidate will have hands-on experience testing Generative AI applications, validating AI-generated outputs, creating test strategies, and ensuring the quality, reliability, and accuracy of AI-powered solutions.
Key Responsibilities
- Develop and execute test plans, test cases, and test scripts for Generative AI applications.
- Validate AI-generated responses for accuracy, relevance, consistency, and safety.
- Perform functional, regression, integration, and end-to-end testing.
- Identify, document, and track defects through resolution.
- Test AI prompts and evaluate prompt engineering scenarios.
- Verify LLM behavior, response quality, hallucinations, bias, and edge cases.
- Collaborate with developers, data scientists, and product teams to resolve issues.
- Participate in sprint planning, daily stand-ups, and QA reviews.
- Ensure compliance with quality standards and testing best practices.
Required Skills
- 3+ years of QA/Software Testing experience.
- Hands-on experience testing Generative AI/LLM-based applications.
- Strong understanding of AI testing methodologies, prompt validation, and response evaluation.
- Experience with manual and/or automation testing.
- Familiarity with defect tracking tools such as JIRA.
- Experience with API testing tools like Postman is a plus.
- Understanding of Agile/Scrum methodologies.
- Strong analytical, communication, and problem-solving skills.
Preferred Qualifications
- Experience working with OpenAI, Azure OpenAI, Google Gemini, Anthropic Claude, or similar LLM platforms.
- Knowledge of prompt engineering and AI evaluation metrics.
- Experience with test automation frameworks is a plus.
- Exposure to Python or scripting for testing is preferred.
Skills
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