AI-SDET Engineer

Location: Bangalore, Karnataka, India

Department: Engineering

Work Location: hybrid

• Design and implement scalable, maintainable testing frameworks utilizing AI agents for high-fidelity, enterprise-grade testing.
• Architect prompt-driven testing systems that abstract complex test logic into composable, reusable workflows.
• Develop infrastructure for orchestrating AI agents, managing state, parallelizing test scenarios, and ensuring failure recovery.
• Build observability and debugging tools (logging, tracing) for transparent AI-driven test execution and root cause analysis.
• Establish integration patterns for UI, REST APIs, webhooks, and custom tools with AI agents to achieve deterministic, high-signal testing.

• Author and evolve prompt libraries and templates that encode testing best practices for consistency and rapid iteration.
• Develop reusable prompt modules for common enterprise scenarios: authentication, role-based access, data validation, multi-tenant workflows, and complex transactions.
• Create evaluation harnesses to measure prompt quality: consistency, defect detection rate, and agent reliability metrics.
• Implement version control, testing, and deployment pipelines for prompts, treating them as first-class code artifacts.

• Design and execute end-to-end test workflows for complex enterprise features, including integrations, multi-step configurations, and role-based access.
• Build frameworks to validate the AI QA platform itself, ensuring agent behavior is reliable, human-like, and compliant.
• Develop data-driven feedback loops to analyze test results, identify gaps, and continuously improve prompt libraries and agent capabilities.

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent professional experience).
• 1+ years of hands-on experience designing and building test automation frameworks for enterprise applications.
• 1+ years of experience with production automation infrastructure: system design, reliability, maintainability, and scalability.
• Deep understanding of test design principles: boundary analysis, equivalence classes, and end-to-end workflow validation.
• Strong fundamentals in modern browser automation: DOM interaction, selectors, state management, and handling flakiness/race conditions.
• Proficiency in Python or TypeScript/JavaScript (preferred) within test automation ecosystems.

• Hands-on experience with Playwright (strongly preferred), Selenium, or similar modern browser automation frameworks.
• Experience building or significantly architecting test automation frameworks from scratch.
• Familiarity with LLM-driven workflows, prompt engineering, or evaluation frameworks (e.g., LangChain, Anthropic SDK).
• Experience testing or validating complex enterprise platforms (e.g., Salesforce, , Workday, SAP).
• Knowledge of CI/CD pipelines, observability tools (logging, tracing, metrics), and test result analytics.
• Background in specialized quality domains like API testing or performance testing.
• Experience with DevOps-adjacent technologies: infrastructure-as-code, Docker, Kubernetes.
• Relevant enterprise platform or test automation framework certifications.