We are seeking an experienced SDET – Automation with 2 to 4 years of hands-on experience in building scalable automation solutions and a solid interest or experience in Generative AI–driven testing approaches. The ideal candidate combines solid engineering fundamentals with up-to-date QA practices, including AI-assisted test design, validation, and quality engineering in Agile environments.

Key Responsibilities
Design, develop, and maintain robust automation frameworks for Web, API, and Mobile applications
Build and execute end-to-end automated test suites covering functional, regression, and integration scenarios
Apply GenAI techniques to improve test coverage, test data generation, and exploratory testing
Validate AI/ML-powered features, including GenAI outputs for accuracy, relevance, bias, and consistency
Collaborate with developers, product, data, and DevOps teams to ensure quality across SDLC
Automate API and backend testing including validation of data pipelines and services
Integrate automation with CI/CD pipelines and ensure reliable test execution
Analyze failures, identify root causes, and drive defect resolution (with GenAI is a plus here)
Contribute to test strategy, quality metrics, and release readiness





Required Skills & Qualifications

Experience
6–8 years of experience in Automation Testing / SDET roles
Proven experience building or enhancing automation frameworks from scratch

Programming & Automation
Strong coding skills in Java / Python / JavaScript
Hands-on experience with Selenium / Playwright / Cypress
Experience with API automation using RestAssured / Postman / Karate
Solid understanding of OOP, data structures, and design patterns

Generative AI / AI Testing
Working knowledge of Generative AI concepts (LLMs, prompts, embeddings, hallucinations, evaluation metrics)
Experience with Claude-Code is advantage
Experience testing GenAI-enabled features such as chatbots, summarization, recommendation, or content generation
Hands-on exposure to prompt engineering, prompt versioning, and prompt evaluation
Experience validating LLM outputs for correctness, relevance, safety, bias, and determinism
Familiarity with LLM APIs (e.g., OpenAI, Azure OpenAI, or similar)
Understanding of AI testing strategies including golden datasets, synthetic data generation, and regression testing for AI models

📌 Software Engineer In Test Bengaluru
🏢 LivSpace
📍 Bengaluru