At a Glance
- Tasks: Lead the charge in setting up security protocols from scratch and securing AI systems.
- Company: Join Flow Engineering, a pioneer in AI agents for hardware engineering.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Unique chance to work with cutting-edge technologies in a dynamic environment.
- Why this job: Be at the forefront of AI security and make a real difference in tech.
- Qualifications: Experience in production engineering and cloud security is essential.
The predicted salary is between 72000 - 88000 £ per year.
This is the first dedicated security role, so the person must set the security agenda from scratch rather than follow an existing program. The work spans threat modeling, secure design, cloud and application hardening, tenant isolation, data protection, and building detection and incident response. A strong candidate has years of production engineering behind them, has run secure cloud services at scale, and has personally carried a company through SOC 2 in a regulated setting.
How it fits the AI era: Large language models and agent workflows sit at the center of the product, so the role includes securing those systems: guarding against prompt injection, stopping data from leaking through models, and deciding what actions agents may take. The security fundamentals of identity, secrets, network, and data protection stay human owned and do not change. What shifts is that the threat model now includes model behavior and agent permissions, and the tooling around detection and monitoring has to keep pace with fast prototyping.
How it builds AI experience: The role offers direct work on securing LLM and agentic systems, from guardrails to action limits, which is still uncommon hands-on experience. Building it means learning how prompt injection and model data leakage actually play out, and pairing that with the compliance side the company needs for defence and aerospace customers. Familiarity with the company's TypeScript, Python, and LLM orchestration stack would help, since security reviews touch those services.
Worth showing:
- Threat modeling
- Cloud security
- AWS
- GCP
- Azure
- SOC 2 implementation
- Securing LLM systems
About Flow Engineering: Per the company, Flow Engineering provides requirements management and AI agents for hardware engineering teams.
Staff Software Engineer - Security in London employer: present of AI
H Company is an exceptional employer for Product Designers, offering a dynamic work environment in London where innovation meets collaboration. With a strong focus on employee growth, the company encourages continuous learning and experimentation, particularly in the evolving field of AI design. The inclusive culture fosters open communication with users and cross-functional teams, ensuring that every designer's voice is heard and valued, making it a truly rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Software Engineer - Security in London
✨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 present of 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 present of 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 present of 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 present of 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 Staff Software Engineer - Security in London
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 present of 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 present of 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 present of 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 present of 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.
