AI Product Engineer

📋 Description

• Architect and build a production-ready multi-agent system interacting with business tools (ERP
• Develop and maintain MCP integrations connecting AI agents with real-world 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 engineer and product owner: define scope, prioritize features, evaluate trade-offs, and
• Design user-focused solutions ensuring technical decisions translate into valuable customer

🎯 Requirements

• 5+ years of full-stack development experience, ideally building B2B SaaS.
• 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, security, and workflow
• Ability 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 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 influence over architecture, product direction, and execution.
• Work within a global, collaborative, and mission-driven team.