Information Extraction Engineer
Redcellpartners · Remote, USA
About this role
**About Red Cell Partners / DEFCON AI** Red Cell Partners is an incubation firm building and investing in rapidly scalable technology-led companies across healthcare, cyber, and national security. DEFCON AI is an insights company leveraging AI, mathematical optimization, data analytics, and software engineering to enable resilient optimization of complex systems—helping customers anticipate, assess, and mitigate disruption impacts. --- **About the Role (Information Extraction Engineer / QA Engineer)** As the **QA Engineer**, you will own quality for an **AI-enabled decision-support system**—including the **test plan**, **automated coverage**, and the **evidence** that what was delivered matches what was specified. This role sits on the **product side** of the organization (reporting through the Product Lead). You will work closely with engineering and platform daily, but your focus is verifying **requirements/acceptance criteria**, not just what was implemented. This is a **fully remote** role with **occasional travel (up to 25%)** to DEFCON AI HQ, customer sites, and vendor facilities as required. --- **Key Responsibilities** **Test Strategy & Acceptance Criteria** - Own the system test plan covering **functional, integration, performance, and load testing** (as a formal deliverable) - Translate product-defined acceptance criteria into **executable tests** - Review acceptance criteria with product before development begins; flag ambiguous or non-verifiable requirements - Hold engineering, platform, and partner teams accountable to acceptance criteria and define required **evidence** for completion - Coordinate day-to-day with engineering to test effectively while independently reporting what testing shows - Plan and coordinate **user acceptance testing** with customers; track findings to resolution **Test Automation & Coverage** - Build and maintain automated test suites; integrate into **CI/CD** as **release gates** - Establish and report against an automated **coverage standard** - Build performance and load testing to validate the system under expected user load - Maintain regression coverage across releases **Measurement & Evidence** - Build and maintain labeled evaluation sets with subject-matter experts - Design and run sampled audits to confirm automated decisions are correct - Measure and report what the system **misses** (not only what it gets right) - Measure how often users override the system and report trends - Document how each committed measure is computed, including data sources and release evidence - Produce evidence independently of the people building the models **Release Governance** - Maintain version inventory across builds, models, configurations, and thresholds - Produce test reports, evaluation records, and rollback criteria for each release - Work with platform engineering to ensure test environments match production closely enough - Enforce the gate: **no release ships without the required evidence** --- **Required Qualifications** - **5+ years** in software quality engineering, test automation, or software engineering with substantial dedicated test ownership - A clear point of view on how testing should be done (you’ll set the standard) - Strong coding ability for test automation (e.g., **Python + pytest**, or **JavaScript/TypeScript + Playwright/Cypress/Selenium**). Ability to read and reason about application code under test - Routine use of **AI-assisted development**, with judgment about whe
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