Knowledgeable in using MCP servers, AI skills, and AI agents + Experience in validating models, data, and end-to-end workflows/integrations (APIs, databases, pipelines) using data/model validation plus integration, E2E, and regression testing, including handling non-deterministic outputs and real-world/edge/failure scenarios + Experience in assessing AI quality attributes (accuracy, precision/recall, relevance, bias/fairness, robustness/consistency), data quality (completeness, correctness, representativeness, drift, label quality), plus safety/explain ability/guardrails and performance (latency, scalability, reliability) + Experience with cloud computing (AWS/Azure) + Familiar with containerization using Docker/Podman/Kubernetes + Strong analytical and troubleshooting skills with attention to detail + Excellent written and verbal communication skills **Hazardous Working Conditions/Environment** Not applicable. Playwright, or similar testing frameworks + Experience using AI-assisted development tools within an IDE, such as VS Code, to write automated tests and troubleshoot issues + Experience in JavaScript, Python programming languages + Knowledgeable in using SQL or GraphQL + Experience developing software test plans, test cases, and test reports + Knowledge of software engineering best practices and software development lifecycles + Experience with DevOps and MLOps, including automated tests within CI/CD processes such GitLab or GitHub + 1+ years of experience using AI tools (i.e. Cline, Roo Code, etc.) within an IDE to write automated tests and/or troubleshoot issues + Familiarity with AI models such as Claude, Co-Pilot.