Backend Engineer for AI-Powered Security Platform

Backend Engineer for AI-Powered Security Platform

Full-Time 63000 - 77000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Build and enhance an AI-powered security platform while owning features and production systems.
  • Company: Join Abnormal AI, a cutting-edge tech company in the UK.
  • Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Dynamic work environment with a focus on reliability and speed.
  • Why this job: Make a real impact by blending backend systems with innovative AI features.
  • Qualifications: 3-5 years of experience in backend systems, strong Python skills, and cloud/docker knowledge.

The predicted salary is between 63000 - 77000 £ per year.

Abnormal AI in the United Kingdom is seeking a Software Engineer to help build and evolve our platform as it scales, blending backend systems with AI‑powered features.

You will own features and production systems, working with senior engineers to improve reliability, reduce latency, and speed up release cycles.

Ideal candidates have 3-5 years shipping production backend systems, strong Python, and experience with design fundamentals, databases, and cloud/docker tooling.

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Backend Engineer for AI-Powered Security Platform employer: Abnormal AI

Abnormal AI is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of the United Kingdom. With a strong focus on employee growth, we provide ample opportunities for professional development and mentorship, ensuring that our team members thrive as we build cutting-edge AI-powered solutions together. Join us to be part of a forward-thinking company that values your contributions and supports your career journey.

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Contact Details:

Abnormal AI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Backend Engineer for AI-Powered Security Platform

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Abnormal AI or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Abnormal AI.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Abnormal AI.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Abnormal AI that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Backend Engineer for AI-Powered Security Platform

Backend Development
Python
Production Systems
Design Fundamentals
Database Management
Cloud Technologies
Docker

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 Abnormal AI.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Abnormal AI 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 Abnormal AI

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 Abnormal AI 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.