QA Engineer/AI Startup/Atlanta Hybrid

About the role

A Principal QA Engineer is needed to own quality across a multi-agent AI platform. This role is hybrid, with 2-3 days onsite per week in Atlanta.

Responsibilities

• Design and own a TDD-first QA framework built for non-deterministic AI agent outputs

• Define output scoring, variance thresholds, and regression testing across model updates

• Architect QA sub-agents with specialized, delegated responsibilities across the pipeline

• Write BDD/Gherkin tests that business stakeholders can validate before code is written

• Establish and maintain quality standards across unit, integration, and business outcome testing

• Partner with engineering and product to make quality a shared, embedded discipline — not a checkpoint

Requirements

• Deep, practiced understanding of TDD — not as a concept, but as a daily discipline

• Hands-on experience with AI, LLM-powered, or multi-agent applications

• Experience with BDD/Gherkin or a demonstrated ability to write tests for non-technical stakeholders

• Comfort with non-deterministic systems — variance, probabilistic outputs, and regression across model updates

• Strong communication skills — you'll work closely with both engineering and business stakeholders

Qualifications

• Experience breaking QA into sub-agents or automated quality pipelines

• Background in fintech, enterprise SaaS, or other high-accountability output environments

• Familiarity with Playwright, Vitest, or similar tooling (methodology matters more than the stack)

Benefits

• Buckhead, Atlanta based

• Hybrid Schedule

• $140,000-$180,000 potential salary

• Potential equity

• No sponsorship provided at this time

Schedule

Hybrid

Pay

$140,000-$180,000 potential salary