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AI Product Engineer - Distru

Fully remoteFull-timeSenior$120K - $200KWorldwide#typescript#react#langgraph

Powering Trade For The Emerging Cannabis Industry

Distru is the #1 ERP in the Cannabis Industry with $3B in annual sales processed through our platform! We are a fully remote and global team building a software platform to streamline the supply chain for the cannabis industry. Most of the top cannabis brands and distributors across the United States use our software to manage their entire operation and stay compliant.

As part of our next phase of growth, last year we launched Distru Commerce; a wholesale platform that extends our ERP into the B2B marketplace layer, giving operators a single system to manage their internal operations and their external wholesale sales channels in one fully integrated system. But we're not stopping here. AI is now a core part of how we build and where we're placing our bets. The AI Order Agent is live and already changing how our customers operate: buyers can submit orders from any source and any format saving time spent on manual data entry. That's one piece of a bigger picture: using AI to take the repetitive, heavy-lifting work out of running an ERP so operators can focus on running their business.

The Opportunity

We're looking for an AI Product Engineer, working directly with our CTO, to architect and build an agentic harness — think of it as the Claude Cowork for vertical-specific SaaS. This product will bridge the tools businesses already use to run their operations (ERP, CRM, spreadsheets, calendars, email, analytics, compliance systems) and fundamentally change how they interface with their own data and systems.

This is not a "bolt AI onto existing features" role. You'll be building a new, standalone agentic product from the ground up, which means you'll operate as both the engineer and the product owner: scoping the problem, making architecture calls, and shipping without a lot of structure around you. You'll report directly to the CTO and work closely with product, engineering, and design as this fits into Distru's broader AI-native roadmap.

What You'll Own

Build the agentic harness

  • 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
  • Tech Stack: LangGraph, Next.js, React, Prisma, Claude Code

Own the product, not just the code

  • 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
  • Proactively identify and raise risks or open questions before they become blockers, bringing structured solutions

Stay at the edge of the AI ecosystem

  • Keep pace with a fast-moving space — agent frameworks, harness toolkits, MCP standards
  • Work hands-on with tools like Claude Code as part of your build process

Who You Are

Must-Haves

  • 5+ years of full-stack development experience, ideally in B2B SaaS applications
  • Hands-on experience building multi-agent harnesses in production
  • Experience building MCPs (Model Context Protocol) used in production
  • Strong grasp of production system concerns: reliability, observability, permissions, and safe workflow execution
  • Experience across product and engineering — comfortable owning scoping and decision-making
  • Proficiency in modern technologies such as React, TypeScript, Node, PostgreSQL, GraphQL, and LangGraph
  • Startup agility: experience at an early-stage startup (under 20 engineers)
  • Low ego, team-first mentality
  • Clear, proactive communicator

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
  • Experience using Claude Code or similar tools to build products independently
  • Cannabis industry experience

Open to

Worldwide

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