Application Security Engineer
Anyone AI
Application Security Engineer
Anyone AI
Intensive AI/ML training with post-employment payment
Anyone AI is recruiting experienced Application Security Engineers and Vulnerability Researchers for a specialized project focused on reviewing real-world software vulnerabilities, CVE reproductions, remediation approaches, and exploit verification environments.
We’re looking for security professionals with hands-on experience in penetration testing, vulnerability research, or application security who can determine whether vulnerabilities are reproduced accurately, fixes address the actual root cause, and security tests reliably demonstrate that an exploit has been mitigated.
You’ll review technical security tasks involving:
CVE vulnerability reproduction
Exploit proof-of-concepts
Vulnerability remediation and secure coding
Application security testing
Docker-based vulnerability labs
Exploit verification scripts
Security regression testing
CVSS, CWE, and vulnerability classification
Environment and configuration analysis
Edge cases and alternative attack paths
A key part of the role is determining whether a vulnerability environment accurately recreates the original attack conditions and whether a proposed fix genuinely eliminates the vulnerability without breaking legitimate functionality.
3+ years of hands-on experience in application security, penetration testing, or vulnerability research
Strong understanding of CVE, CVSS, CWE, and common vulnerability classes
Experience identifying and remediating vulnerabilities such as:
SQL injection
Command injection
SSRF
Deserialization vulnerabilities
Buffer overflows
Privilege escalation
Access control issues
Security misconfigurations
Strong understanding of secure coding and vulnerability remediation
Experience reviewing or developing exploit proof-of-concepts
Experience validating whether security fixes address the root cause rather than only the immediate exploit
Proficiency with Docker and Docker Compose
Ability to provide clear, technically rigorous written feedback
Reviewing CVE reproduction environments for technical accuracy
Determining whether vulnerabilities faithfully reproduce the original attack vector and impact
Evaluating proposed security fixes and remediation strategies
Reviewing test suites that verify both:
Normal application functionality remains intact
The original exploit no longer succeeds
Identifying incomplete fixes and alternative exploitation paths
Reviewing Docker environments for correct software versions, services, networking, and configuration
Detecting potential regressions or new vulnerabilities introduced by a fix
Providing recommendations for improving vulnerability reproductions, fixes, and verification logic
OSCP, GPEN, GWAPT, or equivalent security certification
Experience with responsible vulnerability disclosure or CVE reporting
Experience maintaining exploit proof-of-concept code
Experience writing automated security tests using tools such as:
Python
requests
curl
pwntools
Custom exploit harnesses
DevSecOps experience
Familiarity with SAST, DAST, and CI/CD security tooling
Experience developing or reviewing cybersecurity assessments or technical security challenges
Experience with AI evaluation, RLHF, or technical data projects
Work Type: Remote
Engagement: Part-time, project-based consulting
Focus: Application security, vulnerability research, CVE reproduction, and remediation
This role is ideal for security engineers who enjoy understanding how vulnerabilities actually work, reproducing exploits in controlled environments, evaluating security fixes, and identifying subtle gaps that traditional testing may miss.
AnyoneAI helps people with no AI background start a career in AI/ML by offering an intensive, job-focused training program in the edtech space. The program includes 650+ hours of classroom-style and practical training plus 400+ hours of real-world ML project work, with ongoing mentorship to build skills and prepare for interviews. It operates on a pay-after-you-get-a-job model: students pay only after they secure employment in the AI field, making upfront tuition free. Revenue comes from the post-employment fees once a job is landed. The company also connects students with its partners to explore job opportunities. Compared to competitors, AnyoneAI aligns its revenue with student success and emphasizes practical project experience, mentorship, and career placement support for beginners transitioning into AI development roles. The goal is to help individuals transition into AI roles and place them in jobs, creating a clear path from training to employment.
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