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Praxic

Defensive AI for enterprise cybersecurity

Founding Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeLondon, UK

About the Job

Requirements

  • Proven experience performing at an elite level in a competitive technical environment.
  • Exceptional academics in a quantitative discipline from a top university.
  • Exposure to venture-backed environments and/or personal entrepreneurial experience.
  • Deep expertise in applied machine learning.

Responsibilities

  • Develop the early product as part of the first cohort of technical hires.
  • Lead early infrastructure and architectural decisions, balancing velocity and scalability.
  • Work directly with design partners and early customers to build for their needs.
  • Help shape how the company builds, hires, and develops its company-wide culture.
  • Use available models and technology to build products quickly.

Desired Qualifications

  • Expertise in infrastructure and security is desirable but not necessary.

About the Company

Praxic

Defensive AI for enterprise cybersecurity

Praxic develops AI-based defensive cybersecurity for enterprises and governments to protect critical digital infrastructure. Its systems monitor, detect, and respond to threats in real time, turning cyber threat intelligence into defensive actions to prevent exploits. It differentiates itself by focusing on high-value targets with defensive AI, operating in stealth with dual London–San Francisco headquarters and backing from technology investors. Its goal is to strengthen national and commercial digital resilience by proactively securing essential systems before attackers act.

Company size
Not listed
Company stage
Not listed
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
2026

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