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.
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Backend Engineer (AI Agents) at Maze
Are you tired of building simple LLM wrappers and ready to build true autonomous agents? Maze is hiring a Backend Engineer to lead the development of AI agents that proactively resolve cybersecurity threats for Fortune 200 companies. You'll own the architecture, work with an elite engineering group, and ship production-grade AI that solves real-world security challenges at scale.
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Location
EU, United Kingdom / Remote
Compensation
€100k-€160k + Equity
Company
Maze
Role overview
Computer and Network Security11-50 employees
AI Agents that investigate and resolve security vulnerabilities.
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.
Who this is a fit for
- 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.
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.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
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What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Maze wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.