---
title: 'AI Red Team Engineer at White Circle'
canonical: 'https://feeny.ai/job/ai-red-team-engineer-white-circle-j1xbb74qxv2e'
type: 'job'
last_seen: '2026-09-05'
---

# AI Red Team Engineer at White Circle

- **Company:** White Circle
- **Location:** •, United States
- **Compensation:** $60k–$90k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-07-06
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.ashbyhq.com/whitecircle/d2c5f461-55d2-4c20-97a6-41a0fa0b51e9

## Job description

TLDR: We're looking for an AI Red Team Engineer to break LLM-powered systems responsibly, automate the repetitive attacks, and turn their findings into clear evidence that powers customer demos, security reviews, and sales conversations. You'll own hands-on adversarial testing end to end: find the failure, prove it, script it, and write it up.

## About us

White Circle https://whitecircle.ai/ is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale.

- We’ve raised $11M from top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others
- We process over one hundred million API calls every month
- We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model

We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need.

You will:

- 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.
- 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.

## A BIG PLUS:

- Experience with Burp Suite, Postman, Playwright, pytest.
- Experience with modern LLM red-teaming automated agents and pipelines.
- Familiarity with LangChain, LangGraph, LlamaIndex, RAG pipelines, AI agents, tool/function calling, and LLM-as-judge evaluation.
- Familiarity with OWASP LLM Top 10, OWASP Web Top 10, MITRE ATLAS, or other AI security taxonomies.
- Experience testing RAG systems, AI agents, tool-calling workflows, browser agents, or internal copilots.
- Experience writing customer-facing security reports.
- Experience with trust & safety, abuse prevention, fraud, moderation, or platform security.
- Experience building eval pipelines, regression suites, dashboards, or CI-friendly security tests.
- A track record in CTFs, red-team competitions, or responsible-disclosure / bounty programs.

## Why White Circle

- Paid time off in line with your local regulations, no matter where you work from
- Meaningful equity package
- 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

## How we hire

1. Intro call with HR (25 min)
2. Take-home test task
3. Technical interview (60 min)
4. Final call with CEO (45 min)

Please submit your application in English

## About White Circle

## Company Overview
- **One-liner**: White Circle is a control layer for AI in production, providing safety, security, evals, and performance optimization through a unified API.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: Dover, Delaware, United States (operational hub in Paris, France)
- **Founded**: 2025
- **Founders**: Denis Shilov (Founder & CEO)

## Core Business
- **Primary industry**: AI Governance, AI Security, AI Observability
- **Target customers**: B2B, Enterprise (companies deploying AI agents, chatbots, or LLM-powered applications)
- **Mission or purpose**: To give organisations visibility into how their AI behaves, help them respond when things go wrong, and provide a unified system for improving reliability, safety and compliance.

## Products & Services
- **White Circle Platform**: A single API that integrates three layers:
  - **Protect**: Custom low-latency guardrails for blocking unsafe inputs, preventing jailbreaks, detecting prompt injections, PII leakage, and sensitive data leaks.
  - **Observe**: Real-time analytics including topic classification, user behavior clustering, custom metrics, error rate analysis, sentiment analysis, and risk scoring.
  - **Improve**: Model routing, dynamic prompt engineering, context enrichment, and automated optimization based on labelled user feedback.
- **CircleGuardBench**: A proprietary benchmark for evaluating AI moderation models across harm detection, jailbreak resistance, false positives, and latency.
- **KillBench**: A benchmark of hidden LLM biases in critical decisions (life-and-death scenarios).

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: $11M raised in seed funding (announced May 2026)
- **Notable Investors/Partners**: Backed by prominent AI and technology leaders including Romain Huet (ex-Head of Product @DeepMind), Dirk Kingma (Anthropic), Guillaume Lample (Mistral), Thomas Wolf (Hugging Face), Olivier Pomel (Datadog), François Chollet (Keras), Mehdi Ghissassi (ex-DeepMind), Paige Bailey (DeepMind), and David Cramer (Sentry).
- **Growth Signals**:
  - 21 employees (+283.3% YoY, +9.5% monthly growth)
  - Monthly website traffic: 32,090 visits (+682.7% yearly)
  - Active job postings: 6 (monthly job posting growth +20%)
  - SOC 2 Type II and HIPAA compliant
  - Operates in 7 countries (France, Russia, Netherlands, Serbia, Switzerland, Georgia, Spain)

## Competitive Advantages
- **Proprietary self-adjusting models** optimized for low-latency and high performance
- **Unified platform** that combines safety, security, evaluation, and performance optimization – no need for multiple point solutions
- **Enterprise-grade compliance** (SOC 2 Type II & HIPAA)
- **Strong network effects** from backing by leaders at OpenAI, Anthropic, DeepMind, Hugging Face, and Datadog
- **Automated red-teaming** and continuous improvement through user feedback

## Strategic Focus
- Accelerate product development and expand the team across the US, UK, and Europe
- Grow global customer base across healthcare, finance, hiring, and security verticals
- Continue building benchmarks (CircleGuardBench, KillBench) to shape AI safety standards
- Maintain deep integration with the AI open-source ecosystem

## Why Work Here
- **Culture**: “Smart, friendly, and fun” team with a strong engineering and research focus (43% technical staff)
- **Location**: Based in Paris, France with a hybrid work model (office + remote)
- **Benefits**:
  - Strong salary
  - 20 paid days off (plus ability to take more for recovery)
  - Free education (company covers learning costs)
  - Team offsites several times a year
- **Open roles** (June 2026): QA Engineer, Product Engineer (Backend), DevOps Engineer, Product Designer, AI Engineer (Audio), Data Engineer
- **Impact**: Build the future of AI safety at a well-funded, high-growth startup with world-class investors

## Sources
1. [whitecircle.ai](https://whitecircle.ai)
2. [whitecircle.ai/careers](https://whitecircle.ai/careers)
3. [LinkedIn – White Circle](https://www.linkedin.com/company/whitecircle)
4. [Tech.eu – White Circle lands $11M](https://tech.eu/2026/05/12/white-circle-lands-11m-to-help-companies-secure-ai-systems/)

## Other roles at White Circle

- [Finance Lead](https://feeny.ai/job/finance-lead-white-circle-us-san-francisco-or-s3jtsbzkwt7f) — US San Francisco OR, NY
- [Product Brand Designer](https://feeny.ai/job/product-brand-designer-white-circle-us-san-francisco-or-3v7jkx8gskhf) — US San Francisco OR, NY
- [Founding Account Executive](https://feeny.ai/job/founding-account-executive-white-circle-us-san-francisco-or-rns9xb4d5gj6) — US San Francisco OR, NY
- [Recruiter (Research)](https://feeny.ai/job/recruiter-research-white-circle-remote-1vekq2rdfrvz)
- [DevOps Engineer](https://feeny.ai/job/devops-engineer-white-circle-paris-y84p4fve5nn1) — Paris, France
- [Founding Events Lead](https://feeny.ai/job/founding-events-lead-white-circle-new-york-wczngn43ffxc) — New York, NY
- [Partnerships Manager](https://feeny.ai/job/partnerships-manager-white-circle-london-c3ep31m67xse) — • London, United Kingdom
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- [ML Infrastructure Engineer](https://feeny.ai/job/ml-infrastructure-engineer-white-circle-paris-cjvfwvec3k00) — Paris, France
- [Multimodal ML Engineer](https://feeny.ai/job/multimodal-ml-engineer-white-circle-paris-kd1xveq65a91) — Paris, France