Backend Engineer (AI Agents) at Maze - Series A AI Cybersecurity Startup

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.

• 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.

• 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.