Senior Full Stack QA Engineer (Freelance)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Full Stack QA Engineer (AI): Take end-to-end ownership of quality across AI-powered distributed systems from AI agents to user interfaces with an accent on handling non-deterministic AI behavior and multi-component interactions. Focus on designing automated tests, debugging issues in complex chains, ruthless prioritization of risks, and shaping QA culture across frontend, backend, and ML teams.
Location: European Union, flexible fully remote work.
Company
We create data that powers leading GenAI models using Experts + Crowd + Tech Platform, working with frontier labs, big tech, and AI startups worldwide.
What you will do
- Take end-to-end ownership of quality: review requirements, shape test strategies, maintain bug reports, track issues, and surface bottlenecks.
- Own quality across the full system including AI agent, orchestration layer, and user/operator interfaces.
- Design and maintain automated tests accounting for non-deterministic AI behavior.
- Debug issues across multi-component distributed systems and identify break points in the chain.
- Prioritize highest-risk areas ruthlessly and decide when to stop testing.
- Use AI tools to write and maintain tests efficiently and shape QA culture without strict rules.
Requirements
- 5+ years of QA experience with strong manual testing foundation
- Experience testing complex, multi-component distributed systems and understanding service interactions
- Practical experience with test automation
- Familiarity with LLMs and AI-first products, understanding non-determinism
- Experience using AI tools (Cursor, Copilot, etc.) in daily workflow
- Strong prioritization skills in high-volume changes and operating in ambiguity
Culture & Benefits
- Freelance collaboration via Ontop platform.
- Flexible, fully remote work schedule.
- Work on innovative AI projects with leading industry customers.
- Dynamic team of experts, friendly community.
- Global distributed remote-first team.
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