AI Agentic Tester
Summary
Test AI agent workflows and LLM-based applications for accuracy, hallucinations, and consistency using Python, RAG pipelines, and tools like Azure OpenAI or AWS Bedrock.
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.