Collaborate on requirements analysis and full SDLC from spec to post-launch monitoring
Design and execute testing strategies for AI features across embedded systems, with a focus on E2E and acceptance testing
Own QA metrics for AI model outputs: set the metrics, define acceptance criteria, and validate AI solutions

🎯 Requirements

3+ years of experience as a QA engineer
Python automation skills for test frameworks
AI solutions lifecycle: development through testing to delivery
Embedded systems testing experience
API testing skills
Git version control

🎁 Benefits

Equal opportunities and transparent culture
Competitive compensation and annual review
Performance and Loyalty Bonuses
Gig-contract
21 paid vacation days per year and Ukrainian holidays
Medical insurance from day one

Apply on employer's website

This employer gathers applications via their own applicant tracking system.

You will be redirected to an external application form.

Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Engineering Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.

Activate JobCopilot