Automation QA Engineer (QVAC) (100% remote)
Build and maintain reliable automated tests for desktop and mobile applications, integrate them into CI/CD pipelines, and perform hands-on functional, exploratory, and regression testing.
AI Agentic Tester
Denver, MO (Remote)
Must-Have Skills
* AI Agentic Testing
* Functional Testing
* Generative AI Testing
* Large Language Models (LLMs)
* AI Agents & Agentic AI
* Retrieval-Augmented Generation (RAG)
* Prompt Engineering Validation
* AI Model Validation & Evaluation
* API Testing (Postman, REST APIs, Swagger)
* Python
* Test Automation (Selenium / Playwright / PyTest)
* AI Evaluation Metrics (Accuracy, Hallucination, Relevance, Consistency)
* End-to-End Workflow Testing
* Multi-Agent Testing
* Azure OpenAI / AWS Bedrock / Gemini
Core Responsibilities
* Perform functional testing of AI agent workflows and end-to-end AI applications.
* Validate LLM responses for accuracy, relevance, consistency, and hallucination rates.
* Test RAG pipelines, prompt engineering, and AI agent orchestration.
* Execute API testing using Postman, Swagger, and REST APIs.
* Develop and maintain automation scripts using Python, Selenium, Playwright, or PyTest.
* Validate multi-agent interactions, tool calling, and workflow execution.
* Apply AI testing methodologies and evaluation metrics to ensure response quality.
* Work with Azure OpenAI, AWS Bedrock, Gemini, or similar AI platforms to validate AI solutions.
Build and maintain reliable automated tests for desktop and mobile applications, integrate them into CI/CD pipelines, and perform hands-on functional, exploratory, and regression testing.
The QA Engineer strengthens product quality across mobile apps and backend services through risk-based exploratory testing, maintainable automation, API validation, and release readiness reviews.
Test completed campaign builds end to end, manage QC cases from intake to documented close, and communicate defects so teams can resolve issues before campaigns go live.
Own quality across a product area by reviewing requirements, directing AI-driven test agents, exploring for defects, verifying daily releases, and improving test coverage, environments, and QA tooling.
Own software quality across multiple applications by planning and executing front- and back-end tests, investigating defects, and reporting test coverage and progress with agile development teams.