Information Extraction Engineer
Core
Own quality for an AI-enabled decision-support system by building executable test plans, automation, and evidence that delivered work matches specifications.
Role type
Senior QA Engineer (AI/ML decision support)
Builds
Automated test suites, performance/load tests, labeled evaluation sets, and release governance evidence
Domain
National security, AI/ML, complex system optimization
Deliverable
production ML models
Required skills
Test strategy design, CI/CD integration, Python (pytest), performance/load testing, statistical literacy, independent audit design, requirement-based testing, documentation
Preferred skills
Top Secret clearance, government DevSecOps, contract/API testing, AI-assisted test generation, JMeter/k6/Locust, ML output validation, NIST AI RMF, Section 508/WCAG
Technologies
Python, pytest, Playwright, Cypress, Selenium, JMeter, k6, Locust
Responsibilities
Own system test plan covering functional, integration, performance, and load testing; Build and maintain automated test suites integrated into CI/CD; Design and run sampled audits to confirm automated decisions; Measure system misses and user override trends; Maintain version inventory and produce release evidence; Hold release gates based on acceptance criteria
Seniority
Senior, hands-on IC
