About this role
Provenir is seeking a Quality Assurance Engineer to join their team and help shape the future of AI-powered decisioning. This role focuses on assuring the quality of a platform that integrates graph data stores, machine learning models, and agentic AI workflows. You will go beyond conventional testing to define validation strategies for probabilistic systems where outputs are non-deterministic. Responsibilities include building end-to-end test suites, managing CI/CD pipelines, and designing evaluation harnesses for ML models and agentic workflows. You will also validate graph database layers and analytics outputs. Required qualifications include a Bachelor's degree in Computer Science or a related field, and hands-on experience in automated testing of web applications using Python and modern browser automation frameworks like Playwright or Selenium. You must have experience with REST APIs, SQL, and graph databases. Preferred qualifications include experience with agentic frameworks like LangChain or LangGraph, LLM evaluation practices, graph analytics libraries, and cloud infrastructure tools like Docker and Kubernetes. The role offers flexible and remote-friendly opportunities.