At a Glance
- Tasks: Design and implement backend systems for autonomous AI agents in cybersecurity.
- Company: Maze, a cutting-edge cybersecurity startup with a focus on AI.
- Benefits: Competitive salary, equity options, and remote work flexibility.
- Other info: Be part of a dynamic team with significant ownership and growth potential.
- Why this job: Join a lean team and shape the future of AI in cybersecurity.
- Qualifications: 7+ years in backend development, expertise in Python and AWS required.
The predicted salary is between 60000 - 96000 £ per year.
Company Description: Maze - Series A cybersecurity startup building autonomous AI agents.
Job Description: Join a high-caliber engineering team building autonomous AI agents that investigate and resolve cloud security vulnerabilities for Fortune 200 companies. As the second dedicated hire for the AI Agents team, you will design and scale production-grade agentic systems, moving beyond LLM prototypes to build sophisticated, multi-step autonomous decision loops that solve critical security risks.
Location: Remote, UK
Why this role is remarkable:
- Work at the bleeding edge of AI by moving past simple wrappers to build true agentic architectures with planner-executor patterns and autonomous decision-making loops.
- Join a proven leadership team with deep experience in Big Tech and successful exits, backed by $25M in Series A funding from Theory Ventures.
- Gain immense ownership in a lean, elite team of 30 where you will directly influence the architecture of a product already serving global enterprise customers.
What you will do:
- Design and implement backend systems that support complex, multi-step agentic workloads and tool-calling architectures using Python and AWS.
- Take end-to-end ownership of the development lifecycle, from initial AI agent prototyping to deploying scalable production services.
- Collaborate with senior leaders and founding engineers to optimize application performance, security, and reliability for high-stakes cybersecurity environments.
The ideal candidate:
- 7+ years of professional backend development experience, with a mastery of Python and cloud-native architectures on AWS.
- Proven track record of productionizing AI agents or complex LLM workflows using frameworks like LangChain, LangGraph, or LlamaIndex.
- Strong systems design background with experience in asynchronous processing, event-driven architectures, and building robust evaluation frameworks for AI performance.
Next steps:
- Step 1. Visit our website.
- Step 2. Click "Talk to Jack".
- Step 3. Talk to Jack so he can understand your experience and ambitions.
- Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role.
- Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction.
- Step 6. If not, Jack will find you excellent alternatives. All for free.
Backend Engineer (AI Agents) (€100k-€160k + Equity) at Maze employer: Jack & Jill/External Ats
Maze is an exceptional employer for those looking to make a significant impact in the AI and cybersecurity space. With a remote work culture that promotes flexibility and innovation, employees enjoy the benefits of working alongside a highly skilled team while having the opportunity for substantial ownership in a rapidly growing startup backed by impressive funding. The company fosters a collaborative environment where personal and professional growth is encouraged, making it an ideal place for talented engineers to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Backend Engineer (AI Agents) (€100k-€160k + Equity) at Maze
✨Tip Number 1
Get to know the company inside out! Research Maze, their mission, and the tech they use. This will help you tailor your conversation with Jack and show that you're genuinely interested in being part of their team.
✨Tip Number 2
Prepare to showcase your skills! Think about specific projects where you've built backend systems or worked with AI agents. Be ready to discuss your experience with Python and AWS, as these are key for the role.
✨Tip Number 3
Practice your pitch! When you talk to Jack, make sure you can clearly explain your background and what you bring to the table. Confidence is key, so rehearse a few times before the call.
✨Tip Number 4
Don’t forget to follow up! After your chat with Jack, send a quick thank-you message. It shows professionalism and keeps you on their radar as they consider candidates for the role.
We think you need these skills to ace Backend Engineer (AI Agents) (€100k-€160k + Equity) at Maze
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your backend development experience, especially with Python and AWS. We want to see how you've tackled complex projects and what tools you've used to get the job done.
Tailor Your Application:Don’t just send a generic application! Customise your CV and cover letter to reflect the specific requirements of the Backend Engineer role. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your achievements and how they relate to the role.
Apply Through Our Website:Remember to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, you’ll get to chat with Jack, who’s eager to learn about your journey!
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and AWS, as these are crucial for the role. Brush up on your experience with frameworks like LangChain or LlamaIndex, and be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to talk about complex challenges you've faced in backend development, especially those involving AI agents or multi-step workflows. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand the Company’s Vision
Research Maze and their mission in cybersecurity. Be prepared to discuss how your skills can contribute to building autonomous AI agents that tackle cloud security vulnerabilities. This shows genuine interest and alignment with their goals.
✨Ask Insightful Questions
Prepare thoughtful questions for your interviewers about the team dynamics, the technology stack, and future projects. This not only demonstrates your enthusiasm but also helps you gauge if the company culture is the right fit for you.
