Senior/Staff QA Engineer – Agentic AI Platform

Job not on LinkedIn

🔥 4 hours ago

🏄 California, Illinois, +1 more states – Remote

🏄 California – Remote 🌽 Illinois – Remote 🗽 New York – Remote

💵 $80 - $90 / hour

⏳ Contract/Temporary

🟠 Senior

🔧 QA Engineer (Quality Assurance)

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Ole & Lena Digital

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2019

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

Ole & Lena Digital is a forward-thinking company that specializes in professional IT services, including staff augmentation and innovative solutions tailored to optimize operations and drive digital transformation. Their AI-driven Innovation Hubs in Chicago and Karachi foster collaboration among skilled teams to develop cutting-edge technology and empower businesses to succeed in a rapidly evolving digital landscape. By focusing on next-gen talent and generative AI applications, Ole & Lena Digital aims to unlock new possibilities and enhance organizational agility for a sustainable future.

📋 Description

• Support a critical customer engagement as a Senior/Staff QA Engineer • Own quality end-to-end for an agentic AI product • Write manual test cases and build automated coverage • Collaborate closely with Delivery Lead/Solutions Architect and customer engineering stakeholders • Ensure product quality from initial test planning through final release

🎯 Requirements

• 5+ years of professional QA experience • At least 2+ years at a senior or staff level • Strong understanding of the Application Development Lifecycle • Solid UI/UX understanding • Hands-on experience testing AI Agent use cases • Proven experience with automated testing frameworks • Ability to stand up and manage a Playwright cluster • Ability to independently define clear test cases • Experience driving full E2E QA lifecycle ownership: test planning, execution, defect triage, regression, and sign-off. • Deep expertise with Playwright • Proficiency in JavaScript / TypeScript or Python • Familiarity with testing LLM outputs, prompt evaluation frameworks, or conversational AI testing tools • Experience integrating automated test suites into CI/CD pipelines • Proficiency with Git, Jira, and modern test management tools.