# AI-Enabled QA Engineer at Scale%20army%20careers

> Build test automation and validate AI-generated outputs against source data to ensure tools are production-ready.

- Company: Scale%20army%20careers
- Location: Egypt (remote)
- Places: Remote, Egypt
- Posted: 2026-09-22
- Team: QA
- Work mode: Remote
- Apply: https://jobs.ashbyhq.com/scale%20army%20careers/d899b7d4-8ec4-468d-ad14-c9a7c7a219ad
- Page: https://ye.saranatour.dev/jobs/ai-enabled-qa-engineer-scale-20army-20careers-kn77qnht0bc6e4jw95ed27625x8hc3y0

## The posting

AI-Enabled QA Engineer
Scale%20army%20careers · Egypt

_**This role is open to candidates based in LATAM, Africa, and Eastern Europe. Please note that as this role supports U.S.-based clients, candidates must be available to work during U.S. business hours aligned with the client’s time zone.**_

The **AI-Enabled QA Engineer** will test the tools supporting acquisitions, financial analysis, approval workflows, and marketing operations, ensuring they are accurate and production-ready.

This role will write automated checks, test edge cases, validate AI-generated outputs against source data, and help define what “production-ready” means for the organization. The AI-Enabled QA Engineer will work closely with the engineer, product manager, M&A and marketing leads, and the Head of IT.

## Location

**Fully Remote | Must overlap US Eastern business hours through 5:00 PM ET**

## Key Responsibilities

### QA & Test Automation

- Build test automation using Playwright, Cypress, or Selenium for interfaces and pytest or equivalent for underlying systems.
- Design test cases from specifications using equivalence classes, boundaries, negative cases, and cases not covered by the original specification.
- Run tests through CI pipelines so checks execute automatically.
- Track and triage defects using Jira, Linear, or Azure DevOps.
- Write actionable bug reports that engineers can use without requiring additional meetings.

### Data Validation & API Testing

- Use SQL to independently verify data through joins, aggregation, and record-level investigation.
- Validate data at scale through row counts, duplicate detection, orphaned records, referential integrity, and reconciliation of totals.
- Test APIs using Postman or code.
- Validate status codes, payload structures, authentication failures, and behavior on repeated identical requests.

### AI Output & Document Testing

- Evaluate AI-generated output using a fixed set of examples.
- Measure precision and recall using historical cases.
- Run regression tests following prompt changes.
- Check AI-generated output for fabricated facts.
- Verify that fields extracted from financial statements can be traced back to their source documents.
- Test document extraction against scenarios such as scanned documents, rotated pages, and missing signatures.
- Verify target-analysis summaries against source financials so every number in an AI-generated summary is traceable to a document.

### Workflow & Notification Testing

- Test the diligence data room against cases including missing documents, duplicate uploads, and rooms that appear complete but are not.
- Test notifications to ensure they trigger when a room stalls without generating unnecessary alerts.
- Test the approval step on the priority tracker to ensure nothing is submitted without review, including attempts to bypass the approval process.
- Write test cases for AI-generated outputs that every change must continue to pass.

### Brand Asset Quality Assurance

- Check generated brand assets across eight to ten new brands.
- Verify that each generated asset contains the correct brand name, logo, and colours.
- Ensure assets do not contain branding belonging to another brand.

### Production Readiness

- Develop the production-ready checklist with the Product Manager and Head of IT.
- Apply the production-ready checklist to the first tool.

## Qualifications

### Experience

- **3+ years of QA experience** across both manual and automated testing.
- Experie