Backend Engineer (AI Agents)

Position Overview

• Location Type: Remote
• Job Type: Full-Time
• Salary: €100K - €160K

As an Engineer at Maze, you’ll play a pivotal role in shaping our product, including working on the development of AI Agents. You will have the unique opportunity to design, build, and scale a product from the ground up, influencing everything from architecture decisions to the overall user experience. This is an exciting chance to be at the core of our technical team, driving innovation and ensuring seamless integration across the stack.

Requirements

• Extensive Experience: 7+ years of experience in backend development
• Backend Mastery: Strong experience with backend development, including RESTful API design, database management, and server-side frameworks (e.g., Node.js).
• Cloud Experience: Familiarity with cloud platforms (e.g., AWS) and DevOps practices, including CI/CD and containerization (e.g., Docker, Kubernetes).
• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering robust and scalable solutions.
• Collaborative Spirit: Excellent communication skills and the ability to work effectively in a cross-functional team.
• Agility and Adaptability: Comfort working in a fast-paced startup environment with the ability to pivot and adapt as needed.

Responsibilities

• AI Agents Development: Play a pivotal role in the development and scaling of complex AI Agents to tackle some of the biggest challenges in cybersecurity.
• Architecture and Development: Design and implement backend systems, ensuring they are scalable, maintainable, and secure.
• End-to-End Ownership: Take ownership of the entire development lifecycle, from concept and design to deployment and maintenance.
• Seamless Integration: Work closely with other engineers, our designer/product manager to ensure seamless integration of new features and services.
• Performance Optimization: Continuously monitor and improve application performance, security, and scalability.
• Best Practices Establishment: Define and enforce coding standards, best practices, and documentation to maintain high code quality.
• Rapid Prototyping: Quickly prototype and iterate on new features, adapting to user feedback and changing requirements.
• Mentoring and Leadership: As the team grows, mentor junior engineers and lead by example in technical discussions and code reviews.

Company Information

• Ambitious Challenges: We are using Generative AI (LLMs and Agents) to solve some of the most pressing challenges in cybersecurity today.
• Expert Team: We are a team of hands-on leaders with deep experience in Big Tech and Scale-ups. Our team has been part of the leadership teams behind multiple acquisitions and an IPO.
• Impactful Work: Cybersecurity is becoming a challenge to most companies and helping them mitigate risk ultimately helps drive better outcomes for all of us.