Insight Global hiring Agentic QA & Reliability Engineer in United States

You will join a specialized "Modernization Strike Team" focused on rewriting how enterprise software is built, tested, and operated using AI. We expect you to be a "Full-Stack Agentic QA Engineer." You should be comfortable taking a complex business requirement and building an AI-driven verification workflow that ensures 100% accuracy. you are the guardian of reliability in an autonomous world. You aren't here to write manual test cases or maintain brittle Selenium scripts; you are here to build the QA Agents that explore, test, and verify our ERP while we sleep

Required Skills & Experience --Strong hands-on experience in UI test automation and API test automation --Proficient in designing, building, and maintaining scalable automation frameworks --Comfortable working across multiple testing frameworks and toolchains --Deep understanding of core automation principles including test design patterns, maintainability, reliability, and CI/CD integration --Ability to evaluate, adapt, and implement automation solutions regardless of framework or technology stack --Hands-on ability to build AI-driven testing and verification workflows --Proficiency with Python and SQL (Postgres or SQL Server) --Experience testing complex, business-critical systems (ERP, finance, data-heavy platforms) --Comfort working with autonomous agents rather than manual testing Nice to Have Skills & Experience --Experience using Playwright for AI-driven UI exploration --Familiarity with LLMs and agent frameworks (OpenAI, Anthropic, LangChain/LangGraph) --Knowledge of DSPy or other prompt-optimization / evaluation frameworks --Background in red teaming, adversarial testing, or stress testing --Experience generating synthetic data at scale --Exposure to vector databases (pgvector, Qdrant) and RAG systems --Familiarity with data pipelines and orchestration tools (dbt, Airflow, Apache Hop) --Experience with Docker, observability, or ML tooling (OpenTelemetry, Weights & Biases)