100% Remote || AI-Assisted Vulnerability Testing Developer

Role: AI-Assisted Vulnerability Testing Developer

Location: REMOTE

Responsibilities

We are seeking an AI-Assisted Vulnerability Testing Developer to support the advancement of next-generation application security capabilities leveraging AI-assisted frontier models and Mythos-driven dialogue frameworks. This role will focus on expanding AI-driven vulnerability testing into enterprise code pipelines, enabling scalable, automated, and intelligent security validation across the software development lifecycle.

Key Responsibilities

• Collaborate with security and engineering teams to evaluate and implement AI-assisted vulnerability testing solutions
• Identify and assess viable tools and integrations, including:
• AWS Security tools (static and penetration testing capabilities)
• Burp Suite (manual and dynamic testing coverage)
• Snyk (vulnerability analysis, reachability testing)
• GitHub Actions / GitHub Advanced Security
• Design and execute Proof of Concept (POC) efforts to validate AI-assisted testing approaches
• Enable and configure selected solutions within development and CI/CD environments
• Drive the transition from POC to production-ready implementation
• Define and establish governance frameworks, including:
• Training and enablement plans
• Documentation and standards
• Security scope and coverage
• Support go-live execution, ensuring successful adoption across engineering pipelines
• Develop a 2027 roadmap for pipeline integration, including scope definition and implementation planning
• Assist with post-POC scaling and optimization efforts, ensuring long-term sustainability
• Support licensing strategy, token usage, and funding considerations for AI-enabled security tools

Required Qualifications

• 5+ years of experience in application security, DevSecOps, or secure software development
• Hands-on experience with:
• Application security testing tools (SAST, DAST, SCA)
• CI/CD pipeline integrations (e.g., GitHub Actions, Jenkins, etc.)
• Familiarity with AI/ML-assisted development or security tools, including large language model (LLM)-driven workflows
• Experience working with cloud security tools, preferably within AWS environments
• Strong understanding of:
• Application security principles (OWASP Top 10, vulnerability management)
• Software development lifecycle (SDLC)
• Ability to translate security findings into practical engineering solutions

Preferred Qualifications

Experience with:

• AI frameworks or LLM-integrated security workflows
• Snyk, Burp Suite, or similar tools
• GitHub Advanced Security
• Exposure to enterprise security governance and compliance frameworks
• Experience supporting POC-to-production transitions in security or DevSecOps initiatives
• Knowledge of AI cost modeling, token usage optimization, or tooling licensing strategies Soft Skills
• Strong problem-solving mindset with ability to evaluate emerging technologies
• Excellent collaboration skills across engineering, security, and leadership teams
• Ability to operate with high ownership in ambiguous, evolving environments
• Effective communicator capable of driving technical alignment and adoption