Description

You will architect and evolve end-to-end automated testing frameworks using Playwright as the core automation technology.

Responsibilities

• Lead the integration of AI-enabled testing methodologies into the SDLC, including predictive test selection and LLM-based test case generation.
• Design, build, and maintain custom MCP servers and tools to enhance Playwright’s context-awareness.
• Develop test strategies for AI agents and AI-integrated product features, ensuring accuracy and safety.
• Partner with AI/ML engineers to define validation frameworks for AI model performance and prompt correctness.
• Define quality metrics and feedback loops for intelligent CI/CD pipelines to enable safer releases.

Required Skills

• 7+ years of experience in software testing or software engineering, with 2+ years in a technical leadership capacity.
• Proven expertise in Playwright and TypeScript/JavaScript programming.
• Demonstrated success integrating AI systems into QA workflows, including prompt engineering or test generation using AI models.
• Experience designing and maintaining scalable and observable test automation frameworks.
• Deep understanding of CI/CD pipelines, specifically GitHub Actions or Gitlab pipelines.
• Experience with cloud-native environments, preferably AWS.
• Familiarity with modern UI frameworks and microservice-based architectures.
• Proficiency in languages such as Python.
• Experience with databases like Postgres and DynamoDB.

Preferred Skills

• Experience developing or testing AI agents (autonomous or semi-autonomous assistants).
• Knowledge of orchestration frameworks like LangChain or LlamaIndex for LLM testing.

Key Skills

Education

Any Gradute