AI QA Specialist

Role Overview: PeopleHum is an AI-native Human capital global platform built on a microservices architecture with event-driven pipelines and deep LLM integrations on the Java stack. As a QA Specialist at PeopleHum, you will be responsible for owning quality end-to-end. This includes tasks such as writing automation frameworks and API test suites, performance benchmarking, and production monitoring specifically tailored for testing AI agentic systems. Your role will not be limited to just writing test cases; you will be actively involved in ensuring the quality of features from requirement to production. Collaboration with backend and frontend developers is essential, as well as building the automation infrastructure to maintain platform reliability. Testing the correctness, safety, and edge-case behavior of AI agents is a critical aspect of this role, and we are looking for someone who is excited by this challenge. Key Responsibilities: - Quality Ownership Mindset: - Start focusing on quality before any code is written by reviewing requirements and designs for testability. - Prevent defects by being proactive and owning the quality culture within your team. - Show interest and expertise in new age AI technologies and Agentic build environments. - Display enthusiasm for vibe coding, AI, and running QA As a service. - Advocacy & Risk Communication: - Advocate for quality by raising concerns about risks early and suggesting design changes for enhanced testability. - Clearly communicate quality issues to both technical and non-technical stakeholders with data and impact. - Have the confidence to push back on shipping when quality standards are not met, while also being mindful of deadlines. - Collaboration & Partner, Not Gatekeeper: - Actively participate in sprint planning, stand-ups, and retrospectives with valuable insights. - Collaborate with developers during design and implementation stages, bringing both developer and user perspectives to conversations. - Critical Thinking & Analytical Skills: - Investigate issues to their root cause, not just log symptoms. - Think in edge cases, identify scenarios that others may miss, and prioritize testing based on risk and impact. - Maintain flexibility under pressure while balancing between perfect coverage and good-enough results. - Proactive Behaviour & Gap Identification: - Provide input on potential quality issues during the design phase. - Continuously learn about new testing approaches, tools, and methodologies. - Identify flaws in processes and drive improvements actively. - Documentation & Communication Discipline: - Write clear, actionable bug reports with precise reproduction steps. - Create test documentation that is understandable and maintainable by team members. - Articulate technical issues in a way that aids developers in fixing problems efficiently. - Product Curiosity & User Empathy: - Understand workflows, personas, and real-world usage patterns to design meaningful test scenarios. - Demonstrate genuine curiosity about the product and understand what users care about. - Embrace the challenge of testing AI agents that make autonomous decisions in payroll, HR workflows, and compliance where correctness is crucial. Qualification Required: - Must have skills: - Strong hands-on experience with Selenium WebDriver, Playwright, and TestNG/JUnit. - Solid knowledge of REST Assured, Postman, and API validation. - Experience with Apache JMeter and understanding response times, throughput, SLA validation, and bottleneck analysis. - Good coding ability in Java, with additional value from Python and TypeScript/JavaScript. - Understanding of LLMs, AI agents, guardrail testing, and AI API testing. - Knowledge of Git, microservices, REST/Kafka communication, and SQL basics. - Good to have skills: - Knowledge of Jenkins and GitLab CI/CD. - Ability to run tests in containers and set up stable test environments. - Understanding of testing Kafka message production and consumption. - Experience with Cucumber/Gherkin or Robot Framework. - Familiarity with Axe-core/WCAG validation and OWASP ZAP. - Experience with modern code-first performance testing tools. - Strong knowledge of frontend-focused E2E testing tools. - Familiarity with shift-left security scanning. - Awareness of observability-driven testing in modern distributed systems. Role Overview: PeopleHum is an AI-native Human capital global platform built on a microservices architecture with event-driven pipelines and deep LLM integrations on the Java stack. As a QA Specialist at PeopleHum, you will be responsible for owning quality end-to-end. This includes tasks such as writing automation frameworks and API test suites, performance benchmarking, and production monitoring specifically tailored for testing AI agentic systems. Your role will not be limited to just writing test cases; you will be acti