At a Glance
- Tasks: Design and build secure AI systems that tackle complex challenges.
- Company: Rapidly growing tech company with a focus on AI security.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of an innovative team with significant influence on technology direction.
- Why this job: Join a team shaping the future of AI security and make a real impact.
- Qualifications: Strong backend development skills and a passion for solving complex problems.
The predicted salary is between 59400 - 72600 £ per year.
Some roles are about building software.
Others are about helping define how an entirely new generation of technology is used safely, securely, and at scale.
This is one of those.
A rapidly growing technology company is investing heavily in a new AI-focused engineering hub in London.
While the details are deliberately being kept under wraps for now, the mission is clear.
They are tackling some of the most interesting challenges emerging from the adoption of AI, helping organisations embrace these technologies without compromising on security, governance, or trust.
They're looking for backend engineers who enjoy solving complex problems and building systems that operate at scale.
The kind of engineer who likes understanding how things work under the hood, who gets satisfaction from designing reliable services, and who enjoys seeing their work have a tangible impact on both products and customers.
The work sits at the intersection of AI, security, and large-scale distributed systems.
One day you might be designing services that analyse and process vast amounts of data.
The next, you could be building infrastructure that helps secure AI-powered applications, creating APIs that underpin new product capabilities, or collaborating with security researchers and machine learning specialists to bring new ideas into production.
There is a strong sense of ownership throughout the engineering team.
Engineers are trusted to contribute to technical direction, challenge existing approaches, and take ideas from early design through to production.
You won't simply be handed tickets and asked to code.
You'll be encouraged to think critically about problems and help shape the solutions.
From a technical perspective, strong backend development experience is the most important thing.
Java is widely used across the platform, although a solid understanding of distributed systems, scalability, performance, and software design principles matters far more than any single framework.
Experience working with high-volume data systems, cloud-native environments, or security-focused products would be particularly valuable, but curiosity and the ability to learn quickly are just as important.
What makes this opportunity especially interesting is the timing.
AI is creating entirely new security challenges, and this team is being built to tackle them head-on.
The company already has significant global momentum, but this group is still early enough that every new engineer will have the opportunity to influence both the technology and the direction of the platform.
If you enjoy meaningful engineering, working alongside thoughtful people, and tackling the kind of technical problems that don't have obvious answers, this could be a fascinating conversation to have.
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Senior Software Engineer (AI Security) employer: LinuxRecruit
At LinuxRecruit, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Located in the heart of London, our team enjoys access to cutting-edge technology and a vibrant city life, alongside opportunities for professional growth and development. We are committed to empowering our employees with the tools and support they need to thrive, making us a rewarding place to build a meaningful career in the fintech sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer (AI Security)
✨Join Local Tech Meetups
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We think you need these skills to ace Senior Software Engineer (AI Security)
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at LinuxRecruit.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at LinuxRecruit and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at LinuxRecruit
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If LinuxRecruit uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
