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Unframe is an AI-first startup helping enterprises deploy LLM-powered applications rapidly. The company has secured over $100M in TCV within 12 months and recently closed a $50M Series B led by Highland Europe, backed by Bessemer, Craft, and TLV.
As an AI-First QA Automation Engineer, you will build and scale Playwright automation while leveraging AI tools and agents to transform how testing is developed and executed. You'll design reliable end-to-end automation frameworks with a focus on stability and low flakiness. You'll develop testing agents and their execution harnesses, including tool integrations, context management, and reusable skills, while evaluating and improving their reliability across test generation, execution, failure analysis, and bug reporting.
You'll drive AI adoption across QA and Engineering teams by building shared agent configurations, reusable skills, and practical guidance for development and testing tasks. You'll embed Playwright automation and AI-driven analysis into GitHub Actions and CI/CD pipelines, including automated test reporting and root cause analysis. Additionally, you'll develop strategies to validate AI-powered product features, including instruction following, output quality, tool use, and agent state management.
Working closely with Engineering in a fast-paced, product-driven environment, you'll help embed reliable AI-driven automation across the R&D lifecycle and have real ownership from day one, driving decisions and shaping ideas.
REQUIREMENTS:
- 4+ years of hands-on experience as an Automation Engineer
- 2+ years of hands-on experience building and maintaining automated test suites using Playwright
- Strong programming skills in TypeScript or Python
- Proven experience configuring, extending, and optimizing AI agents for development or testing workflows, including agent harnesses, context management, reusable skills, and tool integrations
- Experience building AI-powered workflows using LLMs, prompt and context engineering, and agent orchestration
- Practical understanding of LLM capabilities and trade-offs, with ability to select models and configure agents for different tasks
- Experience integrating automation into CI/CD pipelines (GitHub Actions is a plus)
- Experience working in fast-paced, product-driven environments (startup experience is a plus)
