AI Product Engineer

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Distru

Site WebLinkedInTous les Emplois

11 - 50 employés

Fondée en 2016

💼 Conseil

🏥 Santé

🏭 Fabrication

💰 €3 000 000 Seed Round en 2019-06

Consulting • Healthcare • Manufacturing

Distru est une plateforme complète de planification des ressources d'entreprise (ERP) conçue spécifiquement pour l'industrie du cannabis. Elle sert de plaque tournante centrale pour la gestion de divers aspects des opérations de cannabis, de la gestion des stocks à l'exécution des commandes, en passant par les ventes et le suivi de la conformité, depuis la graine jusqu'à la vente. Distru s'intègre à plusieurs systèmes de l'industrie du cannabis, garantissant la conformité aux exigences réglementaires, et offre des fonctionnalités telles que l'analytique de la culture, la gestion financière et les capacités de CRM. Avec un accent sur la simplification des opérations et l'amélioration de l'efficacité, Distru assiste les cultivateurs, les transformateurs, les fabricants, les distributeurs et les détaillants du secteur du cannabis, les aidant à stimuler les ventes, à gérer les stocks et à surveiller efficacement la conformité.

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

🎯 Exigences

• 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