> Markdown version of [/jobs/ext/3400727-application-security-engineer-appsec](https://www.wearedevelopers.com/jobs/ext/3400727-application-security-engineer-appsec). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Application Security Engineer (AppSec) - **Company:** AuraOne Human Data - **Location:** United States (Remote available) - **Contract:** Permanent contract - **Skills:** Machine Learning, Software Security, Bug Reporting - **Published:** September 21, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=066b021b69f11144 ## About the Role * Demonstrated experience red-teaming AI systems, security research, or adversarial ML work for Application Security Engineer (AppSec) work. * Strong written communication - your reports become the patch ticket. * Comfort working in policy-grey areas with clear documentation of what was attempted and why. * Familiarity with prompt-injection, jailbreak, and policy-bypass taxonomies. * Reliable async availability for at least 10 hours per week., * Background in offensive security, AppSec, or trust & safety operations. * Experience publishing or reproducing public adversarial-ML research. * Multilingual fluency for cross-language attack testing., * Adversarial prompting * Red-team analysis * Policy taxonomy * Failure documentation * Application Security Engineer evaluation Work model Remote - US-eligible. Remote ยท Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US. ## Description * Design adversarial prompts that probe known weakness classes (jailbreak, policy bypass, prompt injection) for Application Security Engineer (AppSec) assignments. * Document every successful attack with reproduction steps and the policy clause it violated. * Score model defenses across single-turn and multi-turn conversations. * Triage emerging attack vectors and route them to the safety team with severity ratings. * Maintain a personal library of attack patterns and propose new red-team rubrics. * Calibrate against the broader red-team cohort to keep coverage and severity consistent.