AI Adversarial Testing Engineer vs AI AIUX Engineer

A AI Adversarial Testing Engineer Only

• Adversarial ML techniques (FGSM, PGD, C&W, backdoor attacks, data poisoning)
• LLM red-teaming: prompt injection, jailbreaking, indirect prompt injection, system prompt extraction
• Python programming for building custom attack tooling and automation scripts
• ML model evaluation and interpretability (SHAP, LIME, attention analysis)
• Threat modeling for AI systems using frameworks like MITRE ATLAS and OWASP LLM Top 10
• Fuzzing and property-based testing applied to neural network inputs and outputs
• Secure ML pipeline analysis (training data provenance, model signing, inference security)
• Technical report writing that translates adversarial findings into actionable risk assessments