HPE

Storage AI Engineer

HPE
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1 day ago
Bengaluru, IndiaMid Level / Senior

Responsibilities

  • Design, develop, and execute test plans for AI-driven products and features.
  • Evaluate AI model behavior across real-world scenarios, edge cases, and adversarial inputs.
  • Test prompt flows, agent behaviors, recommendations, summarization, search, classification, and generative outputs.
  • Identify and document hallucinations, inaccurate outputs, bias, unsafe content, latency, and user-experience issues.
  • Build automated test frameworks for regression testing and continuous quality assurance.
  • Conduct manual exploratory testing for new AI features and workflows.
  • Create evaluation metrics and quality rubrics for AI product performance.
  • Collaborate with ML engineers and product teams to define success criteria for AI features.
  • Monitor production issues, analyze root causes, and drive quality improvements.
  • Maintain test documentation, defect tracking, stakeholder reporting, and release-readiness activities.

Requirements

  • 2–4 years of experience in software QA, quality engineering, or related roles.
  • Basic understanding of LLMs, prompt engineering, embeddings, and RAG.
  • Familiarity with Git, Docker, and cloud environments.
  • Strong understanding of QA methodologies, testing lifecycle, defect management, test case design, exploratory testing, and regression testing.
  • Hands-on experience with test automation tools such as Selenium, Playwright, Cypress, Postman, or similar.
  • Experience with API testing and database and backend validation.
  • Strong analytical, critical-thinking, problem-solving, communication, and documentation skills.
  • Experience testing AI, ML, or GenAI applications is preferred.
  • Knowledge of LLM evaluation, prompt testing, RAG systems, or model benchmarking is preferred.
  • Familiarity with Python, JavaScript, or automation scripting is preferred.
  • Understanding of precision, recall, latency, user satisfaction, and error-rate metrics is preferred.
  • Familiarity with AI observability and evaluation tools is preferred.

Benefits

  • Hybrid work arrangement requiring an average of two days per week from an HPE office.
  • Health and wellbeing benefits supporting physical, financial, and emotional wellbeing.
  • Personal and professional development programs and career-growth opportunities.
  • Inclusive workplace and reasonable accommodation support for applicants with disabilities.

Tech Stack

CypressDockerGitJavaScriptPostmanPythonSelenium

Categories

HPE

About HPE

10,000+ employees

Hewlett Packard Enterprise (HPE) builds enterprise IT infrastructure and services, including servers, storage, networking (Aruba), and hybrid edge-to-cloud platforms like HPE GreenLake for businesses and public-sector organizations. Formed in 2015 after Hewlett-Packard’s split, HPE is headquartered in Houston, Texas and trades on the NYSE. It sells hardware, software, and subscription-based managed cloud services to help customers run workloads across data centers, colocation, and public clouds.

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