AI Product Engineer

📋 Description

• Own architecture of an agentic product, building scalable AI-powered experiences.
• Design production-ready multi-agent systems interacting with
• Develop MCP integrations connecting AI agents with real-world systems.
• Ensure reliability, observability, security, and safe workflow execution.
• Collaborate with engineering, product, and design to align AI initiatives with business goals.
• Balance technical decisions with user-centric product outcomes.

🎯 Requirements

• 5+ years of full-stack experience, ideally in B2B SaaS.
• Hands-on experience building multi-agent AI systems in production.
• Experience with MCP integrations and production engineering principles.
• Proficiency with React, TypeScript, Node.js, PostgreSQL, GraphQL, LangGraph.
• Ability to work independently in ambiguous, fast-moving environments.
• Experience in early-stage startups with small teams and high ownership.

🎁 Benefits

• Fully remote work environment with global flexibility.
• High ownership: build innovative AI products from the ground up.
• Direct collaboration with technical leadership on product decisions.
• Opportunity to work with cutting-edge AI tech and agent-based systems.
• Autonomy to influence architecture, direction, and execution.
• Global, mission-driven team culture.