AI Product Engineer

📋 Description

• Architect and build a production-ready multi-agent system capable of securely interacting with
• Develop and maintain MCP integrations to connect AI agents with real-world business systems.
• Own end-to-end production system requirements: reliability, observability, permissions, security
• Build AI-powered product experiences using LangGraph, Next.js, React, Prisma, and Claude Code.
• Act as both engineer and product owner: define scope, prioritize features, evaluate trade-offs, and
• Collaborate with engineering, product, and design to ensure solutions deliver valuable customer

🎯 Requirements

• 5+ years of full-stack development experience, ideally building B2B SaaS apps.
• Proven hands-on experience building and deploying multi-agent AI systems in production.
• Experience creating and maintaining MCP integrations used in real-world apps.
• Strong production engineering principles: reliability, observability, permissions, security, and
• Proficiency with React, TypeScript, Node.js, PostgreSQL, GraphQL, and LangGraph.
• Ability to learn new frameworks/tools and emerging AI technologies quickly.

🎁 Benefits

• Fully remote work environment with location flexibility.
• Opportunity to build innovative AI products from the ground up with ownership and impact.
• Direct collaboration with technical leadership and involvement in strategic product decisions.
• Work on cutting-edge AI technologies and agent-based systems.
• High autonomy to influence architecture, product direction, and execution.
• Global, collaborative, mission-driven team.