Remote AI Product Engineer - Multi-Agent SaaS

Distru

United States

Remote

USD 150,000 - 200,000

Full time

14 days+

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Job summary

Distru, the #1 ERP for Cannabis, is seeking an AI Product Engineer to architect a new agentic harness. You will own scope, design, and ship a production multi-agent system that connects ERP, CRM, spreadsheets, calendars, and analytics.

Reporting to the CTO, you will collaborate with product, engineering, and design on an AI-native roadmap, balancing technical excellence with user-focused outcomes in a fully remote, global team.

Qualifications

  • 5+ years of full-stack development experience in B2B SaaS.
  • Hands-on experience building multi-agent harnesses in production.
  • Experience building MCPs that are actually used in production.
  • Strong production system concerns: reliability, observability, permissions, and safe workflow execution.
  • Experience across product and engineering - owned scoping and decision-making.
  • Proficiency in React, TypeScript, Node, PostgreSQL, GraphQL, and LangGraph.
  • Startup experience at an early-stage company with ambiguity.
  • Clear, proactive communicator.

Responsibilities

  • Architect and build a multi-agent system in production across core tools (ERP, CRM, spreadsheets, calendars, email, analytics).
  • Build and maintain MCPs (Model Context Protocol integrations) connecting the harness to business systems.
  • Own end-to-end production reliability, observability, permissions, and safe workflow execution.

Skills

Full-stack development
Multi-agent harnesses
MCPs (Model Context Protocol)
Production reliability
React/TypeScript
Node.js
PostgreSQL
GraphQL
LangGraph
Startup experience
Communication

Tools

Claude Code

Job description

Distru, the #1 ERP for Cannabis, is seeking an AI Product Engineer to architect a new agentic harness. You will own scope, design, and ship a production multi-agent system that connects ERP, CRM, spreadsheets, calendars, and analytics.

Reporting to the CTO, you will collaborate with product, engineering, and design on an AI-native roadmap, balancing technical excellence with user-focused outcomes in a fully remote, global team.

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