At a Glance
- Tasks: Build AI-driven features and enhance workflows across diverse projects.
- Company: Everfox, a leader in high-assurance cybersecurity.
- Benefits: Competitive salary, generous leave, pension match, and health benefits.
- Other info: Hybrid work environment with opportunities for career growth and collaboration.
- Why this job: Join a mission to protect critical environments with cutting-edge AI technology.
- Qualifications: Degree in Computer Science or equivalent experience; 4+ years in software development.
The predicted salary is between 20000 - 97000 £ per year.
Trusted Connectivity for AI-Powered Dominance.
Everfox delivers trusted connectivity to protect the world’s most critical environments and safeguard the sensitive data powering decision advantage.
Built for mission-critical operations, Everfox protects what matters most by securing how data moves, how users access it, and how threats are neutralized across every domain.
We enable mission speed and secure collaboration across networks, domains, and allies, while ensuring the data powering AI and advanced analytics remains trusted and protected.
We don’t just defend systems; we deliver decision dominance.
Our Purpose. Protect what matters most by enabling organizations to operate security in the most complex and high‑risk digital environments.
Our Vision. To be the most trusted authority in high‑assurance cybersecurity, enabling secure collaboration across every domain.
Our Belief. Security should never limit mission success – it should enable it.
Our Promise. We deliver absolute confidence in environments where failure is not an option.
Everfox is seeking a versatile AI Software Engineer who thrives in unfamiliar codebases, learns quickly, and improves systems across diverse, fast‑moving projects.
You’ll build AI‑driven features, enhance engineering workflows using modern AI tools, and work across multiple teams to deliver high‑quality, maintainable software.
- Location
- Hybrid – London, UK
Key responsibilities
- Implement, and maintain features across varied languages, frameworks, and internal codebases.
- Add AI capabilities to products: model/API integration, prompt and context design, retrieval, orchestration, and the surrounding infrastructure.
- Build evaluation, automated testing, and guardrails to ensure AI behavior is measurable and stable.
- Use and extend AI tooling and agentic workflows to improve development speed, test coverage, documentation, and reduce manual effort.
- Prototype quickly to de‑risk ambiguous or complex problems.
- Ramp up fast in unfamiliar systems—map key components, ask good questions, and contribute early.
- Work as a guest engineer in other teams’ codebases, aligning on scope, following conventions, and delivering clean, maintainable handovers.
- Share knowledge, patterns, reusable tooling, and guidance to improve engineering practices across the organization.
- Uphold high standards for quality, security, logging, testing, failure‑mode thinking, and responsible AI data handling.
- Contribute to CI/CD, automation, and developer tools where they accelerate project delivery.
- Key Knowledge & Skills
- Degree in Computer Science or related field, or equivalent practical experience.
- 4 years plus professional software development experience and a record of shipping reliable software.
- Experience with agentic coding tools (e. g., Claude Code, Codex) and building custom extensions.
- Strong in at least one programming language and ability to become productive in others quickly.
- Solid understanding of CS fundamentals: data structures, algorithms, concurrency, networking, APIs, testing, and basic security.
- Able to read unfamiliar code, build a working mental model of it, and reason about the impact of your changes.
- Clear communicator who collaborates well and works effectively with partner teams.
- Self‑motivated, adaptable, and comfortable diving into challenging, ambiguous projects with support.
- If needed capable and willing to obtain Government Security Clearance
- Nice to Have
- AI/LLM integration experience (APIs, RAG, tool calling, agent frameworks, hosted or local inference).
- Background improving legacy systems through testing, refactoring, and reducing technical debt.
- Breadth across desktop, mobile, backend, or systems software.
- CI/CD experience (Git Lab, Docker) and Python for automation.
- Experience or interest in security‑sensitive environments.
- Awareness of usability and user experience.
- Empathy, clear communication, and ability to disagree constructively.
A reasonable estimate of the base salary range for this role is: £59,200.00-97,000.00 GBP The actual salary offered may vary within the range based on a candidates' unique experience, locale, and business needs.
In addition to base salary and either bonus or commission, Everfox offers a generous benefits package including competitive annual leave, pension match, PMI, dental, health cash plan, income protection, in a hybrid work environment.
Equal Employment Opportunity
Everfox is an equal employment opportunity employer and complies with all applicable federal, state, and local laws prohibiting discrimination.
Everfox does not discriminate against any employee or applicant based on race, color, religion, sex, age, national origin, disability, veteran status, marital status, medical condition, or any other category protected by applicable law.
Accessibility and Accommodations
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability.
You may request reasonable accommodations by sending an email to humanresources@everfox. com.
Eligibility and Work Rights
Applicants must have the right to work in the location to which you have applied.
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AI Engineer employer: 311 Garrison Technology Ltd
Everfox is an exceptional employer that prioritises the security and integrity of critical environments while fostering a collaborative and innovative work culture. With a hybrid work model in London, employees benefit from a competitive salary, generous annual leave, and comprehensive health plans, all while having the opportunity to work on cutting-edge AI technologies in a supportive environment that encourages professional growth and development. Join us to be part of a mission-driven team where your contributions directly impact the future of cybersecurity.
Contact Details:
311 Garrison Technology Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
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We think you need these skills to ace AI Engineer
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 311 Garrison Technology Ltd.
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How to prepare for a job interview at 311 Garrison Technology Ltd
✨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 311 Garrison Technology Ltd uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
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