About Unframe
Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.
With over $100M in TCV secured within 12 months, and a new $50M Series B led by Highland Europe, Unframe is rapidly scaling globally alongside Fortune 500 customers, backed by Bessemer, Craft, and TLV.
As an AI-First QA Automation Engineer, you'll build and scale Playwright automation while leveraging AI to transform how testing is developed and executed. You'll create AI-powered workflows, prompts, and agentic solutions that automate test generation, execution, failure analysis, and bug reporting. Working closely with Engineering, you'll help embed AI-driven automation across the entire R&D lifecycle.
What you'll do
Build Playwright Automation: Design, build, and maintain reliable end-to-end automation frameworks with a strong focus on stability and low-flakiness.
Build AI-Powered Testing Workflows: Develop agentic workflows and LLM-driven pipelines for automated test generation, execution, self-healing, failure analysis, and bug creation.
Drive AI Adoption: Lead the adoption of AI development tools such as Cursor, Claude Code, and similar across QA and engineering workflows.
Integrate with CI/CD: Embed Playwright automation and AI-driven analysis into GitHub Actions and CI/CD pipelines, including automated test reporting and root cause analysis.
Test AI Features: Develop strategies to validate AI/LLM-powered product features, including prompt behavior, output quality, and agent state management.
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.
Daily hands-on experience using AI tools such as Cursor, Claude Code, or similar.
Experience building AI-powered workflows using LLMs, prompt engineering, and agentic frameworks.
Strong understanding of different LLMs and the ability to choose the right model 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).