AI Product Engineer

📋 Description

• Architect and build a production-ready multi-agent system capable of securely interacting with
• Develop and maintain Model Context Protocol (MCP) integrations that connect AI agents with
• Own end-to-end production system requirements, including reliability, observability, permissions
• Build AI-powered product experiences using technologies such as LangGraph, Next.js, React, Prisma
• Act as both an engineer and product owner by defining product scope, prioritizing features
• Design solutions with a strong user-focused mindset, ensuring technical decisions translate into

🎯 Requirements

• 5+ years of full-stack development experience, ideally building B2B SaaS applications.
• Proven hands-on experience building and deploying multi-agent AI systems in production environments.
• Experience creating and maintaining Model Context Protocol (MCP) integrations used in real-world
• Strong understanding of production engineering principles, including reliability, observability
• Ability to operate across both engineering and product responsibilities, including defining
• Strong proficiency with modern technologies such as React, TypeScript, Node.js, PostgreSQL

🎁 Benefits

• Fully remote work environment with flexibility to work from anywhere.
• Opportunity to build innovative AI products from the ground up with significant ownership and
• Direct collaboration with technical leadership and involvement in strategic product decisions.
• Chance to work on cutting-edge AI technologies and emerging agent-based systems.
• High level of autonomy with the ability to influence architecture, product direction, and execution.
• Work within a global, collaborative, and mission-driven team.