At a Glance
- Tasks: Design and deploy AI systems for cybersecurity investigations and scale a cloud-native platform.
- Company: Exciting pre-seed AI cyberdefense startup in London with a focus on innovation.
- Benefits: Significant equity stake, work with top experts, and influence cutting-edge technology.
- Other info: Be part of a dynamic startup environment with immense growth potential.
- Why this job: Join a mission-driven team tackling critical security challenges in the AI era.
- Qualifications: Strong Python skills, experience with LLMs, and cloud infrastructure knowledge.
The predicted salary is between 60000 - 80000 € per year.
$4.2M pre‑seed AI‑native cyberdefense startup building automated digital forensics for the AGI era.
Join as one of the first dedicated engineers at a high‑growth London startup automating cybersecurity incident response. You will architect agentic AI systems that handle complex digital forensics, scale a multi‑tenant cloud platform on GCP, and build critical evaluations to measure AI performance against real‑world cyber threats in production.
Location: London, UK
Why this role is remarkable:
- Significant founding equity stake in a $4.2M pre‑seed company solving one of the most critical security challenges of the AI era.
- Directly influence the architectural DNA of a production platform already serving customers and handling real‑world cyber attacks.
- Work alongside world‑class founders and an expert team of incident responders to build automated forensics tools that will become ubiquitous.
What You Will Do:
- Design and deploy sophisticated agentic AI systems capable of executing multi‑step cybersecurity investigations and reasoning chains.
- Architect and scale a cloud‑native SaaS platform using FastAPI, React, PostgreSQL, and DuckDB to support real‑time enterprise collaboration.
- Build and maintain robust evaluation frameworks to benchmark how AI systems perform against live, documented cyber incidents.
The ideal candidate:
- Proven track record of shipping and operating production software with strong Python skills in async patterns and task pipelines.
- Hands‑on experience deploying LLMs at scale using frameworks like LangChain and RAG, moving beyond experimentation to production implementations.
- Experienced with cloud‑native infrastructure including GCP/AWS, Terraform, and Docker, with a mindset for reliability, observability, and SOC2‑compliant operations.
Founding Engineer at $4.2M pre-seed AI-native cyberdefense startup in London employer: Jack & Jill
As a founding engineer at our innovative AI-native cyberdefense startup in London, you will be part of a dynamic and collaborative work culture that prioritises creativity and technical excellence. We offer significant equity stakes, direct influence on product architecture, and the opportunity to work alongside industry experts tackling critical cybersecurity challenges. Join us to grow your career in a fast-paced environment where your contributions will have a meaningful impact on the future of digital forensics.
StudySmarter Expert Advice🤫
We think this is how you could land Founding Engineer at $4.2M pre-seed AI-native cyberdefense startup in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at startups. Use platforms like LinkedIn to connect and engage with them. A personal introduction can make all the difference!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and cybersecurity. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding system design. Practice common interview questions and scenarios that relate to building cloud-native applications and AI systems.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to make an impact in the AI-native cyberdefense space. Your dream job could be just a click away!
We think you need these skills to ace Founding Engineer at $4.2M pre-seed AI-native cyberdefense startup in London
Some tips for your application 🫡
Show Your Passion for Cybersecurity:When writing your application, let us see your enthusiasm for cybersecurity and AI. Share any relevant projects or experiences that highlight your interest in this field. We want to know what drives you!
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Founding Engineer role. Highlight your experience with Python, cloud-native infrastructure, and any hands-on work with AI systems. This will help us see how you fit into our vision.
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your skills and experiences. We appreciate brevity, so avoid fluff and focus on what makes you a great fit for our team.
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’re considered for the role. Plus, it shows us you’re keen to join our journey!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, FastAPI, and cloud platforms like GCP. Brush up on your async patterns and task pipelines, as they’ll likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex cybersecurity challenges or built scalable systems. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand the Company’s Mission
Research the startup's vision and the importance of AI in cyberdefense. Be ready to articulate how your skills align with their goals and how you can contribute to building automated forensics tools that address real-world threats.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s architecture, team dynamics, and future challenges. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
