At a Glance
- Tasks: Secure next-gen AI systems and empower developers with innovative tools.
- Company: Join Perplexity, a leader in AI security with a dynamic team.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with excellent career advancement opportunities.
- Why this job: Make a real impact in AI security while working with cutting-edge technologies.
- Qualifications: 4+ years in AI security, strong coding skills, and a passion for problem-solving.
The predicted salary is between 60000 - 80000 € per year.
Requirements
- Hands-on coding and prompting experience
- Bachelor of Science or Master of Science in Computer Science or a related field, or equivalent experience
- Be a technical and process subject matter expert regarding AI security services and attacker tactics, techniques, and procedures
- Good understanding of LLMs, AI architecture patterns, machine learning models, and related technologies such as MCP
- Understanding of application security principles and secure coding practices
- Experience developing and implementing security procedures and policies
- Strong problem-solving, project management, leadership, and communication skills
- Self-motivated with a willingness to take ownership of tasks
- 4+ years of industry experience
What the job involves
Perplexity is seeking a highly skilled, experienced, and hands-on AI Security Engineer to join our security team, driving the protection of next-generation AI systems against adversarial threats. In this role, you’ll design and implement robust mechanisms to secure self-hosted models, LLM APIs, agents, MCPs, and the core AI stack. You’ll empower developers with tools and guidance, as well as technical contributions, enabling innovation while ensuring AI security is strong by default. Our tech stack includes Python, NextJS, TypeScript, Docker, AWS, Kubernetes, and PostgreSQL.
- Define, build, and refine mechanisms to secure AI systems (including self-hosted models, LLM APIs, agents, MCPs, and other core components of the AI stack) against adversarial behaviour of all kinds
- Understand technically complex AI systems, identify potential weaknesses in their architecture, and implement improvements
- At least 50% of time performing hands-on remediation. Also working closely with peer engineers to drive remediations
- Plan and carry out threat modeling activities and realistic threat simulations across our offerings
- Conduct cybersecurity evaluations and lead AI security assessments in a cross-functional environment
- Develop initiatives that improve our capabilities to effectively evaluate AI systems and enhance the organization’s prevention, detection, response, and threat hunting capabilities
- Provide guidance and education to developers to help deter and prevent threats
AI Security Engineer (Member of Technical Staff) in London employer: Deepstreamtech
Perplexity is an exceptional employer that fosters a culture of innovation and collaboration, particularly in the rapidly evolving field of AI security. With a strong emphasis on employee growth, we offer opportunities for professional development and hands-on experience in cutting-edge technologies, all while working in a supportive environment that values creativity and initiative. Located in a vibrant tech hub, our team enjoys access to a wealth of resources and networking opportunities, making it an ideal place for those looking to make a meaningful impact in the world of AI.
StudySmarter Expert Advice🤫
We think this is how you could land AI Security Engineer (Member of Technical Staff) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI security space on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your hands-on coding projects, especially those related to AI security. We want to see your problem-solving prowess and how you tackle real-world challenges.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of LLMs and secure coding practices. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Security Engineer (Member of Technical Staff) in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your hands-on coding experience and any relevant projects you've worked on. We want to see how you’ve tackled AI security challenges in the past!
Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect the specific skills and experiences mentioned in the job description. This shows us you’re genuinely interested in the role.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Deepstreamtech
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, like Python, Docker, and AWS. Be ready to discuss how you've used these tools in your previous roles, especially in relation to AI security.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex security challenges in the past. Highlight your hands-on experience with remediation and threat modelling, as this will demonstrate your ability to think critically and act decisively.
✨Understand AI Security Fundamentals
Brush up on your knowledge of AI architecture patterns and secure coding practices. Be prepared to discuss attacker tactics and how you would implement security measures to protect AI systems from adversarial threats.
✨Communicate Clearly and Confidently
Practice articulating your thoughts clearly, especially when discussing technical concepts. Strong communication skills are essential for this role, so be ready to explain your ideas and solutions in a way that’s easy to understand.
