Founding AI Security Engineer

Praxic is an applied AI lab building the future of defensive cybersecurity for enterprises and governments.

Having raised substantial capital from Tier 1 global VCs and angels (including CEOs of some of the world’s best technology companies), we now have a growing team, a rapidly developing product, and strong early traction with enterprises.

We're looking for a Security Engineer to bring deep security expertise into our product, customer deployments and research. You'll work with clients and internally with engineering, forward-deployed and research teams to understand how organisations defend themselves today and how those workflows can be made increasing agentic, robust, high speed and low cost.

You will

1. Help build the product. Work alongside engineers and researchers to translate real-world cybersecurity problems into agentic workflows, detection capabilities and automated security controls.

2. Work directly with customers. Partner with our forward-deployed team to understand customers' existing security posture, tools, controls and processes. Identify gaps and opportunities, mapping traditional security operations into agentic workflows that deliver measurable improvements in security outcomes.

3. Define and evaluate security use cases. Develop realistic attack scenarios, test cases and evaluation frameworks across areas such as email, identity, cloud and data security. Assess the accuracy, reliability and effectiveness of our agents and help the engineering team improve performance.

4. Bridge security practice and research. Work closely with our research function to ensure our research priorities, findings and external publications are grounded in real-world security challenges, emerging threats and the latest defensive practices.

5. Shape our external thinking. Contribute to technical research, thought leadership and public communications, ensuring our perspectives on cybersecurity are credible, relevant and informed by a deep understanding of how the industry operates.

6. Stay ahead of the threat landscape. Continuously evaluate emerging threats, attacker techniques, security technologies and defensive approaches, turning these insights into opportunities for product development and customer value.

7. Build with AI. Use the best available AI tooling to accelerate your own work, automate research and analysis, and help us develop an increasingly effective security platform.
   

You must have

1. High velocity cyber security experience. Hands-on exposure to security operations, threat detection, incident response, security engineering or a related discipline. You understand how attacks work and how organisations defend themselves.

2. A deep understanding of enterprise security. Familiarity with the security technologies, controls and operational workflows used by modern organisations. You can assess an existing security environment, understand its weaknesses and identify practical improvements.

3. Exceptional analytical ability. You can investigate unfamiliar problems, reason through complex attack scenarios and distinguish meaningful security risks from noise.

4. An AI-native mindset. Genuine enthusiasm for frontier AI and a desire to reinvent how security work gets done. You actively experiment with new tools and look for opportunities to automate.

5. Technical curiosity and aptitude. You're comfortable working with technical systems, security tooling and data. Scripting experience, particularly Python, is an advantage, but you don't need to be a software engineer.

6. Excellent communication. You can articulate complex security concepts clearly, work credibly with experienced security practitioners and contribute to high-quality technical research and external communications.

7. High agency and ambition. You're exceptionally driven, intellectually curious and low ego. You move quickly, take ownership and thrive in environments where there isn't an established playbook.
   

We provide

• The opportunity to work directly with an exceptional founding team at the intersection of frontier AI and cybersecurity

• Above-market equity and competitive cash compensation

• The best tooling, networks and meritocratic environment to succeed

• A high-spec office in King's Cross with gym, coffee, snacks and fitness facilities

• Private medical insurance and 25 days' annual leave

• Cycle-to-work and e-bike rental subsidy schemes

• Team socials, company drinks and more to follow