Storage AI Engineer
Core
Design, develop, and execute testing strategies for AI-driven products, ensuring quality, reliability, and safety of AI behaviors including model accuracy, hallucination detection, and prompt reliability. (via careerplan.io/jobs/1215532-2-storage-ai-engineer-at-hpe)
Role type
QA Engineer specializing in AI/GenAI product quality
Builds
AI-powered features within the HPE Hybrid Cloud and Green Lake platform
Domain
Cloud infrastructure and Generative AI
Deliverable
production ML models
Required skills
Software QA methodologies, test automation (Selenium, Playwright, Cypress), API testing, LLM basics, prompt engineering, RAG concepts, Git, Docker, cloud environments, bug tracking (Jira, Azure DevOps)
Preferred skills
LLM evaluation techniques, Python/JavaScript scripting, AI observability tools, metrics analysis (precision, recall, latency)
Responsibilities
Design test plans for AI features, evaluate model behavior in edge cases, build automated test frameworks, create evaluation metrics and quality rubrics, monitor production issues, collaborate with ML engineers on success criteria
Seniority
Mid-level (2-4 years experience)
