Example listing with a fictional company — for demonstration only, not a live vacancy.
Job details
Overview
Northbridge Analytics is hiring an AI QA Engineer to build rigorous testing and evaluation practices around its AI-powered analytics features — ensuring model outputs are accurate, safe and consistent.
Responsibilities
- Design test suites for LLM-based features, including regression and edge-case testing.
- Build evaluation frameworks to measure output quality and safety.
- Partner with engineering to triage and reproduce AI-specific defects.
- Track and report on model quality metrics over time.
- Advocate for testable, observable AI system design.
Required Skills
Preferred Skills
AI Technology Stack
Interview Process
What to expect
Application Review
Initial review of your profile, projects and assessed skills.
Technical Screen
A conversation covering test design for LLM-based systems.
Practical Exercise
Write an evaluation suite for a sample AI feature.
Team Interview
Meet the QA and engineering teams to discuss quality practices.
Ready to take the next step?
Applying connects you with the ITtoAI team — your verified profile and assessed skills go with you.
This is an example listing. Match scores and outcomes are illustrative and do not guarantee employment or hiring.