AQA Engineer with LLM Testing experience
2 недель назад
The company is a pioneering AI-driven research company providing in-depth stock analysis globally in multiple languages. Our mission is to bridge the knowledge gap in the investment world, empowering investors with AI-powered insights. By integrating our advanced AI technology into brokerage platforms and financial institutions, we enable millions of investors to make informed investment decisions.
We are looking for a Mid-level Automation QA Engineer to join our team in Poland. The role will primarily focus on API testing (80%) with UI testing (20%), alongside testing LLM-powered AI solutions. You will help design, enhance, and maintain automation frameworks, ensuring efficient and scalable testing—especially for AI/LLM-driven features.
Key Responsibilities:
Automation Framework & Strategy
- Contribute to designing and improving automation testing strategies.
- Develop and maintain automation frameworks for API, UI, and LLM validation.
- Ensure scalability, maintainability, and reusability of automation code.
Test Development & Execution
- API Testing: Develop automated API tests in Python using the Requests library.
- UI Testing: Create and maintain UI tests with Playwright.
- LLM Testing: Design and execute automated test suites for **Large Language Model (LLM)**based features, including prompt validation, output accuracy, and bias/error detection.
- Integrate automated tests with Postman collections where applicable.
- Execute performance, regression, and functional tests.
Continuous Integration & Deployment
- Integrate automation tests into CI/CD pipelines (Jenkins preferred).
- Work with Docker and Kubernetes to manage and scale test environments.
Collaboration & Documentation
- Collaborate with developers, QA, and DevOps teams to improve the QA process.
- Write test plans, strategies, and design documents.
- Track issues using Jira and manage test cases (Xray optional).
- Analyze logs, investigate failures, and troubleshoot in staging and production.
- 5 years of experience in test automation or a related QA role.
- Strong programming skills in Python.
- Solid experience in API automation (Requests library) and UI automation (Playwright).
- Hands-on experience testing LLM-based applications (prompt engineering, output evaluation, hallucination/bias testing).
- Experience with CI/CD tools (Jenkins preferred).
- Experience with Docker & Kubernetes for test environments.
- Strong analytical, problem-solving, and debugging skills.
- Experience with Jira for tracking and reporting.
- Ability to work independently and proactively in a fast-paced environment.
Nice to Have:
- Experience with Kafka.
- Familiarity with Xray for test management.
- Knowledge of AWS cloud services.
- Experience with ML/AI model evaluation metrics.
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