AI Offensive Security Engineer
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Key skills for this role
About the Role
AGAPI is seeking an AI-Driven Offensive Security Engineer to combine penetration testing expertise with AI-powered tools and LLMs for vulnerability research, exploit development, and red teaming.
Key Skills for This Role
Responsibilities
- Utilize AI coding assistants to accelerate exploit development, payload creation, and security tooling automation
- Leverage Large Language Models (LLMs) to enhance reconnaissance, source code review, vulnerability discovery, and security research
- Analyze decompiled binaries, source code, and application logic using AI assisted workflows
- Generate and optimize fuzzing harnesses and Proof of Concept (PoC) exploits with AI support
- Develop advanced prompt engineering techniques tailored for offensive security use cases
- Conduct authorized security testing, including controlled evaluation of AI guardrails
- Critically assess AI generated outputs for technical accuracy and exploit reliability
- Produce clear, client ready penetration testing and red team reports
Requirements
- 5+ years of experience in Penetration Testing, Red Teaming, Offensive Security, or related cybersecurity roles
- Minimum 6 months of hands on experience integrating AI tools into offensive security workflows
- Strong expertise in application, network, cloud, and infrastructure security
- Proficiency in scripting or programming using Python, Bash, or similar languages
- Experience with exploit development, vulnerability assessment, and security research
Full Job Posting
Job Summary
- We're seeking an AI Driven Offensive Security Engineer to combine advanced penetration testing expertise with AI powered tools and Large Language Models (LLMs) to enhance vulnerability research, exploit development, red teaming, and security assessments.
Key Responsibilities
- Utilize AI coding assistants (e.g., GitHub Copilot, Cursor, Claude, or similar) to accelerate exploit development, payload creation, and security tooling automation.
- Leverage Large Language Models (LLMs) to enhance reconnaissance, source code review, vulnerability discovery, and security research.
- Analyze decompiled binaries, source code, and application logic using AI assisted workflows.
- Generate and optimize fuzzing harnesses and Proof of Concept (PoC) exploits with AI support.
- Develop advanced prompt engineering techniques tailored for offensive security use cases.
- Conduct authorized security testing, including controlled evaluation of AI guardrails.
- Rapidly prototype and validate exploit concepts using AI powered tools.
- Critically assess AI generated outputs for technical accuracy and exploit reliability.
- Identify and eliminate hallucinated vulnerabilities, APIs, CVEs, or inaccurate recommendations.
- Validate all findings through manual testing and real world verification.
- Produce clear, client ready penetration testing and red team reports.
- Create executive summaries, technical documentation, and remediation recommendations using AI assisted workflows.
Qualifications
- 5+ years of experience in Penetration Testing, Red Teaming, Offensive Security, or related cybersecurity roles.
- Minimum 6 months of hands on experience integrating AI tools into offensive security workflows.
- Strong expertise in application, network, cloud, and infrastructure security.
- Proficiency in scripting or programming using Python, Bash, or similar languages.
- Experience with exploit development, vulnerability assessment, and security research.
- Strong understanding of ethical hacking methodologies and responsible disclosure practices.
Preferred Qualifications
- Experience automating Red Team operations using AI, including C2 scripting, OPSEC aware payload generation, and traffic obfuscation.
- Hands on experience with offensive AI tools such as PentestGPT, WhiteRabbitNeo, Garak, or custom/local LLM deployments.
- Knowledge of AI assisted social engineering techniques within ethical and legal boundaries.
- Understanding of secure local vs. cloud LLM deployment and data confidentiality considerations.
- Experience assessing AI/ML systems, including Prompt Injection & Jailbreaking, Model Extraction, Data Poisoning, OWASP LLM Top 10 Security Risks.
- Familiarity with AI powered defensive technologies, including EDR, SIEM, WAF, and anomaly detection systems.
- Ability to evaluate AI detection capabilities through adversarial testing and false negative analysis.
- Understanding of AI generated code patterns and modern defensive detection techniques.
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