SDET III – Generative AI QA
2 days ago
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We're seeking a Senior SDET with expertise in Generative AI testing to lead the development of cutting-edge automation frameworks for AI/ML-powered applications. You'll ensure the reliability, safety, and scalability of LLM-driven products while advancing traditional test automation for cloud-native systems. Responsibilities
- AI-Aware Test Automation - Design and maintain Python/Java-based automation frameworks (Selenium, Playwright, TestNG/JUnit) for web, API, and backend services.
- Extend frameworks to test LLM integrations (OpenAI, HuggingFace, RAG pipelines) with prompt validation, hallucination checks, and response consistency tests.
- Implement model benchmarking (latency, accuracy, bias/drift detection) for generative AI features.
- Quality Infrastructure - Integrate tests into CI/CD pipelines (Jenkins, GitHub Actions) with cloud workflows (AWS/GCP).
- Optimize performance testing (JMeter/Locust) for AI endpoints handling high-throughput inference.
- Debug flaky tests in (non-deterministic) AI systems.
- Leadership & Innovation - Mentor junior engineers on AI testing best practices.
- Research tools like LangChain, synthetic data generators, or adversarial testing techniques.
- Advocate for ML-specific quality metrics beyond traditional pass/fail.
- 7–9 years in QA automation with strong Python/Java proficiency.
- Hands-on experience with Selenium, Playwright, REST Assured, and CI/CD tools (Jenkins, Docker).
- Solid understanding of SQL/NoSQL databases and cloud platforms (AWS/GCP).
- Exposure to performance testing (JMeter, K6) and scalable test frameworks.
- Experience with LLM testing (prompt engineering, output validation, rubric-based grading).
- Familiarity with OpenAI APIs, HuggingFace, or LangChain.
- Knowledge of synthetic test data generation for edge-case scenarios.
- Autonomy – Thrive in fast-paced, AI-driven environments with minimal supervision.
- Analytical Mindset – Debug complex failures in probabilistic AI systems.
- Communication - Explain technical trade-offs to non-technical stakeholders.
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