Backend Engineer (AI Agents) (€100k-€160k + Equity) at Maze

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Title

Backend Engineer (AI Agents) (€100k-€160k + Equity) at Maze - Series A AI Cybersecurity Startup

Job Title

Backend Engineer (AI Agents)

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/EU

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.

• 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.

• 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.

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.

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.

How does this work?

• 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 it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.

This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.

Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.

We appreciate this can make them look a bit suspect, but there isn't much we can do about it.

Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.