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Senior Offensive Security Researcher - AI Agents

refractal • Montenegro
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Lead offensive security research against AI agents and infrastructure to identify and mitigate autonomous AI threats. Develop automated attack tooling, evaluation suites, and detection rules in collaboration with engineering teams. Requires 6+ years in offensive security, red teaming, or vulnerability research with hands-on experience attacking LLM applications.

Key Highlights
Red-team AI agents across browser, code, enterprise, and multi-agent environments.
Build automated attack tooling and reusable evaluation suites integrated into CI.
Lead customer assessments and translate findings into actionable detection rules and policy controls.
Key Responsibilities
Red-team AI agents across browser, code, enterprise and multi-agent environments.
Research prompt injection, tool abuse, memory poisoning, identity and data-exfiltration attack chains.
Build automated attack tooling and reusable evaluation suites that run in CI and for customers.
Turn findings into detection rules, classifiers and policy controls with our engineers.
Lead customer assessments and write findings that security leaders can act on.
Technical Skills Required
Offensive Security Python LLM Security
Benefits & Perks
Competitive equity
Pension contribution
Private medical and dental cover
Visa and relocation support
Nice to Have
Working knowledge of MITRE ATLAS or the OWASP Top 10 for LLM applications
Montenegrin, Serbian, Bosnian or Croatian language skills

Job Description

About Refractal

Refractal is an AI security company building the infrastructure organisations need to defend against autonomous AI threats. 2026 has shown that generally capable intelligence is here. The challenge now is modernising security to stop AI-enabled threats, whether they come from internal agents going rogue or from attackers using AI to become more dangerous.

Refractal was founded on cybersecurity and AI expertise from MIT, Microsoft, NASA and the U.S. Navy. Our product lets organisations detect AI-enabled threats at low cost without sacrificing detection quality. We take a practical approach to AI risk, combining proven cybersecurity methods with frontier AI security research.

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