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# Cybersecurity / AI Security (Penetration Platform) Engineer

- **Company:** Codeforce 360
- **Location:** New York, United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software System Penetration Testing, Audit Trail, Automation of Tests, Code Coverage, Cyber Security, Continuous Integration, Job Scheduling, Python (Programming Language), Open Web Application Security, Regression Testing, Software Reliability Testing, Software Vulnerability Management, Cloud Platform System, Delivery Pipeline, Large Language Models, Software Security, Generative AI, Git Flow, Security Orchestration, Automation & Response, Programming Languages, Microservices
- **Published:** October 12, 2026
- **Apply:** https://www.dice.com/job-detail/84dc7ce9-8cfa-4ea1-9af4-be87d379554a

## About the Role

About the Job- We are looking for an experienced Cybersecurity / AI Security (Penetration Platform) Engineer to join one of our enterprise client engagements. The ideal candidate should have strong expertise in Python, PyRIT, Garak, AI security along with experience working in fast-paced enterprise environments.

## Description

AI Security and Penetration Testing

 * Design and implement automated security testing frameworks for LLMs, generative AI applications, and AI-powered agents.
 * Identify and assess AI-specific vulnerabilities, including prompt injection, jailbreaks, sensitive information disclosure, insecure tool use, and excessive agency.
 * Conduct authorized penetration testing and adversarial assessments of AI applications, APIs, model endpoints, and supporting infrastructure.
 * Evaluate risks associated with Retrieval-Augmented Generation (RAG), vector databases, model integrations, and external tool connections.
 * Assess AI systems against relevant security frameworks, including the OWASP Top 10 for LLM Applications and MITRE ATLAS.
 * Develop repeatable test scenarios to assess model behavior, guardrails, data protection, and application security controls.

AI Penetration Testing Platform Development

 * Design, develop, and maintain scalable platforms for automated AI security assessments.
 * Build reusable testing modules, plugins, APIs, and orchestration workflows for security testing.
 * Integrate AI security testing tools and frameworks such as PyRIT, Garak, and custom adversarial testing utilities.
 * Develop automated attack simulation and vulnerability validation workflows for approved testing environments.
 * Build dashboards and reporting capabilities to track vulnerabilities, risk severity, test coverage, and remediation status.
 * Support multi-tenant execution, job scheduling, test isolation, audit logging, and secure handling of test artifacts.

Security Automation and Engineering

 * Develop automation scripts and platform services using Python and other suitable programming languages.
 * Build CI/CD integrations to execute AI security tests during development and deployment.
 * Integrate security testing with Git-based workflows, build pipelines, vulnerability management systems, and issue trackers.
 * Implement automated test orchestration, result normalization, evidence collection, and regression testing.
 * Develop APIs and microservices to integrate AI security assessments into existing enterprise security platforms.
 * Improve test reliability, scalability, performance, and repeatability.