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- 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: Collaborate with industry leaders and influence product architecture.
- 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.
Salary: €100k-€160k + Equity
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 in London employer: Jack & Jill/External Ats
Contact Detail:
Jack & Jill/External Ats Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Backend Engineer (AI Agents) (€100k-€160k + Equity) at Maze in London
✨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 conversations and show that you're genuinely interested in being part of their team.
✨Tip Number 2
When you chat with Jack, be ready to showcase your experience with Python and AWS. Bring examples of your past projects, especially those involving AI agents or complex workflows. This is your chance to shine!
✨Tip Number 3
Don’t just talk about your skills; demonstrate your passion for cybersecurity and AI. Share your thoughts on current trends or challenges in the field. This shows you’re not just looking for a job, but you’re invested in the industry.
✨Tip Number 4
Finally, remember to follow up after your chat with Jack. A quick thank-you message can go a long way. It keeps you on their radar and shows your enthusiasm for the role. Plus, it’s a nice touch!
We think you need these skills to ace Backend Engineer (AI Agents) (€100k-€160k + Equity) at Maze in London
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, 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 you've learned along the way!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Backend Engineer role at Maze. We love seeing candidates who understand our mission and can connect their experience to it.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that get straight to the heart of your experience and skills. Avoid fluff and focus on what makes you a great fit for the role!
Apply Through Our Website: Remember to apply through our website! It’s the best way for us to keep track of your application and ensure it gets into the right hands. Plus, you’ll get to chat with Jack, who’s eager to learn about your ambitions!
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 knowledge of frameworks like LangChain and LangGraph, and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in backend development, especially related to AI agents or complex 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 the cybersecurity space. Be prepared to discuss how your skills align with their goals, particularly in building autonomous AI agents that tackle cloud security vulnerabilities.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about the team dynamics, the challenges they face in developing agentic systems, and how they measure success in their projects.