Description:

Design, develop, and execute comprehensive test strategies for Generative AI and large language model (LLM) solutions.
Collaborate with data scientists, ML engineers, and product managers to validate AI workflows and create measurable test cases.

Requirements:

4+ years of QA engineering experience in AI or data science environments.
Strong proficiency in pytest, Python, and API testing frameworks (e.g., Requests, RestAssured).
Hands-on experience with GenAI, LLM, Agentic AI, and RAG testing methodologies.
Familiarity with CI/CD pipelines and automation tooling (Jenkins, GitHub Actions).
Deep understanding of AI ethics, bias mitigation, and model explainability.
Excellent analytical and problem-solving skills with a detail-oriented mindset.
Strong communication skills for cross-functional collaboration.

Skills