AI Red Team Engineer

Job not on LinkedIn

🕒 July 1

🌐 France, United Kingdom, +1 more countries – Remote

🇫🇷 France – Remote 🇬🇧 United Kingdom – Remote 🇺🇸 United States – Remote

💵 $60k - $90k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 27%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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White Circle

WebsiteLinkedInAll Job Openings

1 - 10 employees

🤖 Artificial Intelligence

🔌 API

🔐 Security

Artificial Intelligence • API • Security

White Circle is a unified control layer for AI applications that helps teams test, protect, observe, and optimize model-driven features. The platform provides automated red-teaming, low-latency guardrails, input/output protection (PII detection, jailbreak prevention, hallucination detection, data-leak prevention), analytics and custom metrics (risk scoring, user-behavior clustering), and optimization tools like dynamic prompts and model routing. Delivered via a high-throughput API with enterprise-grade security (SOC 2, HIPAA), White Circle targets organizations deploying AI at scale.

📋 Description

• 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.

🎯 Requirements

• Genuinely love breaking things and reasoning adversarially. • Have a background in QA automation, AppSec, API/security/pen testing, or bug bounty. • Have strong Python scripting skills. • Have experience testing APIs, web apps, backends, or SaaS products. • Are hands-on with LLMs, prompts, system instructions, RAG, agents, and tool/function calling. • Understand LLM-specific abuse vectors (prompt injection, jailbreaks, data leakage, tool misuse, excessive agency, token-cost exhaustion). • Can find bypasses, abuse edge cases, chain failures, and reason about real-world impact. • Can separate real customer risk from low-impact prompt tricks. • Write clear, reproducible bug reports in clear English. • Can move fast without perfect requirements. • Hold a firm ethical line: you red-team to make systems safer, operate within scope and the law, and don't produce or traffic in genuinely harmful material.

🏖️ Benefits

• Paid time off in line with your local regulations, no matter where you work from • Work from Paris (hybrid) + relocation package • Best medical insurance in France • All the hardware, tools, and services you need • Covered subscriptions for AI agents • Team off-sites twice a year: we've recently been to the Alps and to Saint-Tropez