Senior Software Development Engineer in Test (Senior SDET) - LATAM (Remote)

Luxury Presence is the leading digital platform revolutionizing the real estate industry for agents, teams, and brokerages. As a Senior Software Development Engineer in Test (SDET), you will lead the design and evolution of test automation strategies that integrate AI technologies to enhance quality assurance processes.

Responsibilities:

• Architect and evolve end-to-end automated testing frameworks, with Playwright as the core automation technology
• Lead the integration of AI-enabled testing methodologies into the SDLC, including predictive test selection, LLM-based test case generation, and self-healing automation
• Design, build, and maintain custom MCP (Model Context Protocol) servers and tools that enhance Playwright’s context-awareness and adaptability
• Develop test strategies for AI agents and AI-integrated product features, ensuring accuracy, reliability, and safety
• Partner with AI/ML engineers to define validation frameworks for AI model performance, prompt correctness, and deterministic output behavior
• Mentor SDETs and QA engineers on advanced automation, AI-assisted testing, and test strategy best practices
• Define quality metrics and feedback loops for intelligent CI/CD pipelines, enabling faster, safer releases
• Collaborate cross-functionally with Product, DevOps, and Architecture to embed testing standards and ensure high quality across all delivery stages
• Stay ahead of emerging AI testing frameworks and champion innovative approaches to improve testing scalability and precision

Requirements:

• 7+ years of experience in software testing, test automation, or software engineering, including 2+ years in a technical leadership capacity
• Proven expertise in Playwright (or similar tools like Cypress, Selenium, or WebDriverIO) and TypeScript/JavaScript programming
• Demonstrated success integrating AI systems or tools into QA workflows, including prompt engineering, test generation, or defect analysis using AI models
• Hands-on experience testing AI-driven solutions, LLM-based systems, or AI agents
• Experience designing and maintaining test automation frameworks for scalability, reliability, and observability
• Deep understanding of CI/CD pipelines (GitHub Actions, Jenkins, GitLab, CircleCI) and cloud-native environments (AWS, Kubernetes)
• Familiarity with GraphQL, Apollo, React, and microservice-based architectures
• Strong mentorship, communication, and collaboration skills
• Passion for innovation, particularly in AI, automation, and developer productivity
• Experience developing or testing AI agents (autonomous or semi-autonomous assistants)
• Knowledge of LangChain, LlamaIndex, or other orchestration frameworks for testing LLM applications
• Experience with AI model testing (data drift, regression analysis, hallucination detection)
• Familiarity with model observability and quality metrics for LLM-based products
• Exposure to mobile testing (React Native, Appium, Maestro)
• Experience leading QA or automation teams or owning large-scale test infrastructure