XBOW
Cybersecurity • AI • SaaS
XBOW is an AI-powered penetration testing platform that delivers human-level security testing at machine speed. It utilizes hundreds of specialized AI agents that collaborate to discover, validate, and exploit vulnerabilities autonomously, allowing companies to test their applications rapidly. With a focus on comprehensive coverage and efficiency, XBOW enables continuous security validation for applications, ensuring they remain secure against emerging threats. Its capabilities include testing every endpoint and attack vector, making it a crucial tool for organizations looking to maintain security without the traditional bottlenecks of manual pentesting.
11 - 50 employees
Founded 2024
🔒 Cybersecurity
☁️ SaaS
AI Research Engineer
Job not on LinkedIn
October 3
🇺🇸 United States – Remote
💵 $150k - $350k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧠 AI Research Scientist
XBOW
Cybersecurity • AI • SaaS
XBOW is an AI-powered penetration testing platform that delivers human-level security testing at machine speed. It utilizes hundreds of specialized AI agents that collaborate to discover, validate, and exploit vulnerabilities autonomously, allowing companies to test their applications rapidly. With a focus on comprehensive coverage and efficiency, XBOW enables continuous security validation for applications, ensuring they remain secure against emerging threats. Its capabilities include testing every endpoint and attack vector, making it a crucial tool for organizations looking to maintain security without the traditional bottlenecks of manual pentesting.
11 - 50 employees
Founded 2024
🔒 Cybersecurity
☁️ SaaS
📋 Description
• Build LLM-powered software that actually works • Architect and build an AI-powered software stack that is production-grade, testable and maintainable. • Design and build experiments and evaluation frameworks for performance testing of the system at scale. • Collaborate with the rest of the AI team, with security experts, and both frontend and backend developers
🎯 Requirements
• Strong experience with building software around LLMs: prompting, agentic orchestration, fault-tolerance, and integration of LLM parts with hard-coded logic. • Strong software engineering skills: architecting and building production-grade software that runs reliably and can be maintained. • Experience with TypeScript or proven ability to learn a new programming language quickly. • Strong skills in structured and independently-driven problem-solving. Able to work with incomplete information and rapidly testing hypotheses. • MSc or equivalent or higher in computer science, math, physics or machine learning.
🏖️ Benefits
• Competitive salary and a generous equity package • Shape your role, lead the function, and grow with the company • Tackle technically complex challenges and play a pivotal role in the growth of our business
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