At a Glance
- Tasks: Design and deploy AI systems for automated cybersecurity investigations.
- Company: Exciting pre-seed AI-native cyberdefense startup in London.
- Benefits: Significant equity stake and opportunity to shape the future of cybersecurity.
- Other info: Be part of a dynamic startup with immense growth potential.
- Why this job: Join a pioneering team tackling critical security challenges with cutting-edge technology.
- Qualifications: Strong Python skills and experience with cloud-native infrastructure.
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 employer: Jack & Jill
As a founding engineer at this innovative AI-native cyberdefense startup in London, you will be part of a dynamic team dedicated to revolutionising cybersecurity through automated digital forensics. The company offers a unique opportunity to influence the foundational architecture of a cutting-edge platform while enjoying significant equity stakes and a collaborative work culture that fosters growth and innovation in one of the most critical fields of technology today.
StudySmarter Expert Advice🤫
We think this is how you could land Founding Engineer at $4.2M pre-seed AI-native cyberdefense startup
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨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 us a chance to see your work in action and understand how you tackle real-world problems.
✨Tip Number 3
Prepare for technical interviews by practicing coding challenges and system design questions. We recommend using platforms like LeetCode or HackerRank to sharpen your skills. Remember, confidence is key when discussing your thought process!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our mission to revolutionise cybersecurity.
We think you need these skills to ace Founding Engineer at $4.2M pre-seed AI-native cyberdefense startup
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 automating digital forensics and tackling real-world cyber threats.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter to reflect the skills and experiences mentioned in the job description. We want to see how your background aligns with our mission of building automated cybersecurity solutions.
Highlight Your Technical Skills:Don’t hold back on showcasing your technical prowess! Mention your experience with Python, cloud-native infrastructure, and any frameworks you've used. We’re looking for someone who can hit the ground running, so make it clear how you fit the bill.
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 don’t miss out on any important updates about the role. Plus, we love seeing applications come in through our own channels!
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 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 automated digital forensics in the AI era. Be ready to share your thoughts on how you can contribute to their mission and why you’re passionate about cybersecurity.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current projects, team dynamics, and how they measure AI performance against real-world threats. This demonstrates your engagement and enthusiasm.
