Senior QA Engineer – AI & Feature Testing

Solvd, Inc.

Kraków

On-site

PLN 180,000 - 240,000

Full time

3 days ago
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Job summary

Solvd Inc. is seeking a Senior QA Engineer to join a team building AI-powered and traditional features for a leading personal finance platform.

You’ll own quality across web, mobile, and API — with a particular focus on testing AI/LLM-integrated components where standard deterministic methods don’t apply. This role requires someone who understands the fundamental difference between testing software that has a right answer and evaluating AI outputs that have a probability distribution — and who

Qualifications

  • 5–7 years of experience in software testing across web, mobile, and API.
  • Hands-on experience with Playwright in production testing.
  • Experience testing AI features and eval vs deterministic testing.

Responsibilities

  • Plan, design, and execute test cases for AI-powered components and traditional features, applying eval-based or deterministic methods.
  • Analyze traditional functional requirements and AI model behavior specifications, prompts, and edge cases.
  • Turn business requirements into test plans, cases, and scripts.
  • Perform manual feature testing across platforms and verify bug fixes.
  • Create clear defect reports and document AI outputs, hallucinations, and regressions.
  • Help develop QA practices for emerging technologies including AI frameworks.

Skills

QA testing
AI testing strategies
Eval vs deterministic testing
Web/mobile/API testing
UAT

Education

Bachelor’s degree in Computer Science or equivalent

Tools

Playwright
Jira
Confluence
Test management systems

Job description

Solvd Inc. is seeking a Senior QA Engineer to join a team building AI-powered and traditional features for a leading personal finance platform.

You’ll own quality across web, mobile, and API — with a particular focus on testing AI/LLM-integrated components where standard deterministic methods don’t apply. This role requires someone who understands the fundamental difference between testing software that has a right answer and evaluating AI outputs that have a probability distribution — and who

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