Senior Engineer Quality

ACI is seeking a Quality Assurance Engineer with strong automation, performance, and API testing expertise, along with hands-on experience validating AI-enabled products and systems. The ideal candidate will combine deep QA engineering skills with modern software development practices, strong programming ability, and familiarity with AI-assisted development and AI/ML system testing. Key Responsibilities: - Design, develop, and maintain automated test suites for web, API, and distributed systems. - Perform hands-on code writing and code reviews for test automation and quality engineering work. - Evaluate complex user requests and clarify functional and technical requirements for new or modified applications. - Build and execute test strategies across functional, regression, integration, performance, and end-to-end testing. - Conduct feasibility studies for new applications and existing systems, and make sound decisions within defined parameters - Improve and sustain software quality using strong domain knowledge and engineering best practic - Collaborate across product, engineering, and platform teams to solve quality and reliability issues. - Contribute to hiring activities, team collaboration, and knowledge sharing. - Uphold quality standards and mentor junior team members on testing practices and engineering excellence. Required Skills and Experience: - Strong experience in QA, SDET, or Quality Engineering roles. - Hands-on experience with Playwright, Selenium, Cypress, or similar automation frameworks. - Strong programming skills in TypeScript and/or Python. - Experience in API testing and validating distributed systems. - Performance testing expertise with tools such as k6, JMeter, or Locust. - Solid understanding of the software development lifecycle and Agile methodologies. - Experience with automated unit and integration testing tools such as JUnit, TestNG, Rest-Assured, Karate, or Cucumber. - Familiarity with mobile testing tools such as Appium or Espresso is a plus. - Experience with CI/CD pipelines using Jenkins or GitHub Actions. - DevOps familiarity, including Docker and/or Kubernetes, is a strong plus. - Strong understanding of design patterns and architectural principles for scalable, maintainable systems. AI-Related Skills and Experience: - This role specifically requires candidates who can support AI-driven products and workflows. Ideal candidates should have: - Experience testing AI/ML systems, including LLMs, RAG pipelines, and agentic workflows. - Familiarity with validating AI outputs for accuracy, consistency, safety, latency, and reliability. - Understanding of how to test systems that use prompting, retrieval, tool use, and multi-step orchestration. - Experience using or evaluating AI-assisted development tools such as Claude Code, GitHub Copilot Cursor or similar tools. - Ability to design test strategies for AI features where outputs may be probabilistic rather than deterministic. - Comfort working with engineering teams building AI-enabled applications, copilots, or multi-agent systems. Preferred Qualifications: - Experience in frontend testing with React and TypeScript. - Background in performance and capacity planning for distributed and mobile environments. - Exposure to cloud-native engineering practices and scalable test infrastructure. - Experience mentoring others and raising quality standards across teams. What Success Looks Like: - High-confidence automated coverage across critical user journeys. - Reliable validation of AI-powered features and workflows. - Strong collaboration with engineering teams to prevent defects early. - Improved release quality, performance, and maintainability across products.