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)

Job Description

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

Responsibilities Include:

--Build and evolve an autonomous “QA Swarm” that tests the ERP UI, APIs, and financial workflows

--Design AI agents that explore the product, find broken flows, and validate reconciliations

--Replace brittle, manual tests with self‑healing, AI‑maintained test suites

--Create Judge / Eval Agents to assess agent accuracy, hallucinations, and data safety

--Reverse‑engineer legacy business logic and wrap it in modern, automated tests

--Stress‑test systems using synthetic ERP data and adversarial scenarios

--Act as the final gatekeeper of production reliability for agent‑driven features

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