AI QA Automation Engineer (Python)

Project description

Own AI quality, automated testing, reliability engineering, and agent-powered QA automation.

Responsibilities

• Build automated evaluation frameworks for agents, RAG, prompts, tools, workflows, and model outputs. Create benchmark datasets, golden responses, regression suites, evaluation metrics, and release thresholds. Test hallucination, grounding, citation accuracy, prompt injection, tool selection, and multi-agent coordination. Develop agents that generate test cases, validate API and workflow outputs, and support intelligent UAT. Build UI, API, integration, performance, end-to-end automation, and CI/CD quality gates. Monitor production quality, drift, reliability, and recurring failure patterns.

SKILLS

Must have

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field. 5+ years of software quality engineering, test automation, or reliability engineering experience. Strong Python skills and experience building reusable automated test frameworks. Experience with API, UI, integration, regression, and CI/CD-based testing, including measurable quality gates. Experience testing generative AI, RAG, copilots, or AI agents. Experience with Playwright, Selenium, LLM evaluation frameworks, and prompt testing. Experience developing agent-powered test generation, workflow validation, or intelligent UAT assistants. Experience with adversarial testing, Responsible AI testing, and production quality monitoring. Ability to translate requirements, business workflows, and AI behaviors into measurable quality criteria.

Nice to have

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