What our ai qa engineers do
Modern QA engineers use AI to write and maintain tests faster, and test AI features that traditional QA cannot cover. They build automation suites that run on every pull request and evaluation sets that catch regressions in LLM answers.
This is the same approach behind our agentic QA service: fewer escaped defects, faster releases and clear quality reports for every build.
What you can build with our ai qa engineers
- End-to-end UI suites with Playwright or Cypress
- API and contract tests in CI/CD
- AI-generated test cases from requirements and user stories
- Evaluation suites for chatbots, RAG and agents
- Performance and load tests
- Release quality reports and dashboards
Flexible ways to hire
- Dedicated engineer: a full-time ai qa engineer working only on your product, in your tools and sprints.
- Part-time or on demand: expert hours for reviews, architecture or a specific feature.
- Managed team: a small cross-functional team that delivers a defined project end to end.