AI Product Engineer

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Distru

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2016

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

💰 $3M Seed Round on 2019-06

Consulting • Healthcare • Manufacturing

Distru is a comprehensive enterprise resource planning (ERP) platform designed specifically for the cannabis industry. It serves as a central hub for managing various aspects of cannabis operations, from inventory management to order fulfillment, sales, and compliance tracking, all the way from seed to sale. Distru integrates with several cannabis industry systems, ensuring compliance with regulatory requirements, and offers features such as cultivation analytics, financial management, and CRM capabilities. With a focus on streamlining operations and enhancing efficiency, Distru assists cultivators, processors, manufacturers, distributors, and retailers in the cannabis sector, helping them to drive sales, manage inventory, and monitor compliance effectively.

📋 Description

• Architect and build a multi-agent system in production — one capable of safely operating across a business's core tools (ERP, CRM, spreadsheets, calendars, email, analytics, compliance systems) • Build and maintain MCPs (Model Context Protocol integrations) that connect the harness to real business systems • Own production system concerns end-to-end: reliability, observability, permissions, and safe workflow execution — this is a system that will take real actions on customers' data, and the bar for getting it right is high • Since there's no existing playbook here, you'll define scope, make the call on tradeoffs, and drive execution with minimal oversight • Design for the user, not just the architecture — a product-first mindset that prioritizes how this actually gets used over what's technically interesting to build • Proactively identify and raise risks or open questions before they become blockers, and bring structured solutions, not just problems • Keep pace with a fast-moving space — agent frameworks, harness toolkits, MCP standards — and bring in better approaches as they emerge rather than waiting to be told • Work hands-on with tools like Claude Code as part of your own build process

🎯 Requirements

• 5+ years of full-stack development experience, ideally in B2B SaaS applications • Hands-on experience building multi-agent harnesses in production — not just prototypes or personal projects • Experience building MCPs (Model Context Protocol) that are actually used in production • Strong grasp of production system concerns: reliability, observability, permissions, and safe workflow execution • Experience across product and engineering — you've operated as both. You should be comfortable owning scoping and decision-making, not just implementation • Proficiency in modern technologies such as React, TypeScript, Node, PostgreSQL, GraphQL, and LangGraph, with the ability to quickly pick up new tools and frameworks • Startup agility: experience at an early-stage startup (under 20 engineers) where you've operated effectively in ambiguous, unstructured environments • Low ego, team-first mentality — you measure success by what shipped and whether it worked, not by internal politics • Clear, proactive communicator — you raise concerns and propose solutions before being asked • Nice-to-Haves • Background building in supply chain, ERP, CRM, B2B marketplaces, or accounting software • Experience with UX design • Familiarity with agentic systems and multi-agent orchestration beyond what's listed above (e.g., evaluation frameworks, agent-to-agent protocols) • Experience using Claude Code or similar tools to build products independently • Cannabis industry experience