QA Engineer - AI-Assisted Testing & Remote (Brazil)

Alchemy

United States

Remote

USD 41,000 - 69,000

Part time

8 days ago

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Benefits offered by this job

Remote independent-contractor role (in
Work in English during Brazil time‑to‑

Job summary

Alchemy is seeking a QA engineer to own quality across a configurable software platform and customer solutions built on it. You will blend established QA practices with AI-assisted testing, creating automated coverage and deciding when results require human review to ensure release readiness.

The role supports research and manufacturing workflows with varied customer configurations and core product behavior.

Qualifications

  • Three to five years of software quality assurance experience.
  • Plan and execute feature, bug-fix, and regression testing.
  • Experience or aptitude in automated testing and maintaining test coverage.
  • Judgment to assess AI-generated tests and agent findings, identify where human verification is needed, and communicate the evidence required for release.
  • Ability to investigate application behavior using logs, data, or scripts.

Responsibilities

  • Create and execute test plans for features and fixes, and run regression checks across releases.
  • Write, extend, and maintain automated tests with AI coding assistants, reviewing their output carefully.
  • Design testing workflows where agents explore product behavior and customer configurations, then triage their findings.
  • Identify recurring manual checks and automate high-cost regression work.
  • Expand test coverage in CI/CD and investigate performance anomalies using logs, database data, and scripts.
  • Work with engineering, DevOps, and customer-facing teams to test platform-based solutions and improve QA practices.

Skills

Software QA
Automated testing
Regression testing
Feature testing
AI-assisted testing

Job description

Alchemy is seeking a QA engineer to own quality across a configurable software platform and customer solutions built on it. You will blend established QA practices with AI-assisted testing, creating automated coverage and deciding when results require human review to ensure release readiness.

The role supports research and manufacturing workflows with varied customer configurations and core product behavior.

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