AI Red Team Engineer

Responsibilities

• Red-team LLM-powered systems: chatbots, copilots, RAG pipelines, AI agents, tool-calling workflows, and API-based AI products.
• Test for jailbreaks, prompt injection, system-prompt and tool leakage, sensitive-data and context leakage, unsafe outputs, policy bypass, tool misuse, excessive agency, resource and token-cost abuse, and business-logic abuse.
• Write lightweight Python to automate attacks, run prompt sets, call model APIs, collect and score responses, and generate repeatable reports.
• Build and maintain an internal attack library: prompts, scenarios, test cases, regression tests, scoring rubrics, and reusable demo cases.
• Turn model failures into clear reports: what happened, why it matters, how to reproduce it, how severe it is, and how to fix it.
• Convert successful attacks into regression tests and product requirements.
• Track new red-team and safety techniques and fold the useful ones into our tests.
• Support GTM by producing strong, credible evidence for customer demos, security reviews, and sales conversations.
• You'll fit right in if you
• Genuinely love breaking things and reasoning adversarially.

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