AI Penetration Testing Engineer

Delven Labs

Remote · $130k – $160k / year · Full-time · Posted 5 months ago

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About the role

Traditional penetration testing follows playbooks — scan for known vulnerabilities, try common exploits, write a report. Our AI-augmented approach adapts in real-time: the system learns from each test attempt, identifies attack paths that human testers overlook, and generates novel exploitation strategies based on the specific target environment. You'll build the adaptive testing engine: attack graph generation mapping all possible paths through a target network, ML-guided prioritization that focuses on the most likely successful attack vectors, and the automated exploitation framework that chains multiple low-severity findings into high-impact attack scenarios. Security testing is adversarial engineering. The systems you're attacking are defended by competent security teams. Finding vulnerabilities they missed requires creative thinking augmented by computational thoroughness — and the ability to explain complex attack chains to executives who need to understand the business risk.

Fully remote.

Responsibilities

Build adaptive attack graph generation for AI-augmented penetration testing
Design ML-guided prioritization for high-probability attack vector identification
Develop automated exploitation chaining combining low-severity findings into critical paths
Create clear attack narrative reports for executive and technical audiences
Maintain and expand the library of AI-generated testing strategies

Requirements

5+ years in penetration testing or offensive security
Strong Python skills for security automation
Experience with attack graph modeling and path analysis
Understanding of common vulnerability classes and exploitation techniques
Ability to communicate technical security findings to non-technical stakeholders