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Encora

Senior AI QA Automation Engineer

Colombia · On-site · CSA Billable

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About the role

Test AutomationCI/CDRAGQuality AssurancePythonAzureUI DesignLLMsGenerative AI
Job Title: Senior AI QA Automation Engineer Key Skills: Python, AI Testing, Test Automation, Playwright, Selenium, API Testing, Azure AI Foundry Evaluations, RAG Evaluation, Prompt Testing, CI/CD, Monitoring Experience: 5+ YOE. Location: Costa Rica, Peru, Colombia, Bolivia. Mode: Remote We at Coforge are hiring Senior AI QA Automation Engineer (#006fu00000bWsOCAA0-4) with the following skill set. Key Responsibilities - Build automated evaluation frameworks for AI agents, RAG solutions, prompts, tools, workflows, and model outputs, including benchmark datasets, golden responses, regression suites, evaluation metrics, and release thresholds. - Test AI-specific behaviors including hallucinations, grounding, citation accuracy, prompt injection, tool selection, and multi-agent coordination. - Develop agent-powered QA solutions for test-case generation, API and workflow validation, and intelligent UAT, while building UI, API, integration, performance, and end-to-end automation. - Implement CI/CD quality gates and continuously monitor production AI quality, drift, reliability, and recurring failure patterns. Required Skills & Qualifications - 5+ years of experience in Software Quality Engineering, Test Automation, or Reliability Engineering. - Strong Python skills with experience building reusable automated testing frameworks. - Hands-on experience with Playwright and/or Selenium. - Strong experience with API, UI, integration, regression, end-to-end, and CI/CD-based test automation. - Experience with Azure AI Foundry Evaluations, RAG evaluation, and prompt testing. - Experience defining evaluation metrics, benchmark datasets, regression suites, and measurable quality thresholds. - Knowledge of AI quality concepts such as hallucination testing, grounding, citation accuracy, prompt injection, and agent behavior validation. - Experience implementing CI/CD quality gates and production monitoring. - Ability to translate business requirements, workflows, and AI behaviors into measurable quality criteria. - Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field. Preferred Skills: - Experience testing Generative AI, RAG solutions, copilots, or AI agents. - Experience with LLM evaluation frameworks and advanced prompt testing. - Experience developing agent-powered test generation, workflow validation, or intelligent UAT assistants. - Experience with adversarial testing and Responsible AI testing. - Experience monitoring AI quality, drift, reliability, and failure patterns in production environments. Posted On: 12-10-2026 At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.