# Storage AI Engineer

**Company**: Hewlett Packard Enterprise
**Location**: Bengaluru, Karnātaka
**Work arrangement**: hybrid
**Experience**: mid
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/Bengaluru-Karntaka-India/Storage-AI-Engineer_1215532-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_c112f783-78c

## Description

We are looking for a skilled Storage AI Engineer to help ensure the quality, reliability, and safety of our AI-powered products.

As a QA Engineer on our AI product team, you will design and execute testing strategies for both traditional software features and AI-specific behaviors such as model accuracy, hallucination detection, prompt reliability, safety, bias, performance, and user trust.

**Key Responsibilities**

- Design, develop, and execute test plans for AI-driven products and features

- Evaluate 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 issues related to hallucinations, inaccurate outputs, bias, unsafe content, latency, and poor user experience

- 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, and reporting to stakeholders

- Partner with cross-functional teams to improve product quality and release readiness

**What You Need to Bring**

- 2-4 years of software QA, quality engineering, or related roles

- Basic understanding of LLMs, prompt engineering, embeddings, and RAG

- Familiarity with Git, Docker, and cloud environments

- Strong analytical and problem-solving skills

- Ability to learn and work with emerging AI technologies

- Strong understanding of QA methodologies, testing lifecycle, and defect management

- Experience with test case design, exploratory testing, and regression testing

- Hands-on experience with test automation tools such as Selenium, Playwright, Cypress, Postman, or similar

- Familiarity with API testing, DB and backend validation

- Ability to think critically about edge cases and user behavior

- Excellent communication and documentation skills

- Experience with bug tracking tools such as Jira, Azure DevOps, or similar

## Skills

### Required
- LLMs
- prompt engineering
- embeddings
- RAG
- Git
- Docker
- cloud environments
- QA methodologies
- test case design
- exploratory testing
- regression testing
- test automation tools
- API testing
- DB and backend validation

### Nice to have
- Experience testing AI, ML, or GenAI applications
- Knowledge of LLM evaluation techniques, prompt testing, RAG systems, or model benchmarking
- Familiarity with Python, JavaScript, or automation scripting
- Understanding of metrics such as precision, recall, latency, user satisfaction, and error rates
- AI observability and evaluation tools

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Source: [Apply at hpe.wd5.myworkdayjobs.com](https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/Bengaluru-Karntaka-India/Storage-AI-Engineer_1215532-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)