AI Product Engineer

📋 Description

• The AI Product Engineer will own building and scaling an agentic product from the ground up
• Architect and build a production-ready multi-agent system interacting with ERP, CRM, spreadsheets
• Develop and maintain MCP integrations connecting 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, trade-offs, and drive

🎯 Requirements

• 5+ years of full-stack development experience, ideally with B2B SaaS.
• Proven hands-on experience building and deploying multi-agent AI systems in production.
• Experience creating MCP integrations for real-world applications.
• Strong production engineering knowledge: reliability, observability, permissions, security
• Able to operate across engineering and product responsibilities, defining requirements and
• Proficiency with React, TypeScript, Node.js, PostgreSQL, GraphQL, and LangGraph.

🎁 Benefits

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