Staff AI Product Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $200k - $300k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 0%

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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 production multi-agent system operating safely across Distru and customers' core systems • Iterate and maintain the MCP connecting Distru to Claude and Codex • Own reliability, observability, and durable execution end to end • Write evaluations to improve agentic systems using real customer use cases • Build a unified data system integrating multiple sources into a singular data layer exposed to Claude and Codex via MCP • Build a contextual memory system ingesting customer data and improving agent performance • Set architectural standards for how agents are built, tested, and shipped • Keep pace with agentic frameworks, harnesses, toolkits, and models • Rapidly prototype new ideas for the team and customers • Build hands-on with Claude Code and similar tools • Improve the agentic coding workflow and share discoveries with the team • Report to the VP of Engineering and Director of AI Engineering • Collaborate with the product team, engineering team, and customers

🎯 Requirements

• 7+ years in full-stack development, ideally on B2B SaaS applications • Hands-on experience building multi-agent harnesses in production, not just prototypes or personal projects • Experience building MCPs used in production • Strong grasp of reliability, observability, permissions, and safe workflow execution • Experience operating as both product and engineering; comfortable owning scoping and decisions • Proficiency in React, TypeScript, Node, PostgreSQL, GraphQL, and LangGraph • Experience at an early-stage startup with under 20 engineers, setting direction amid ambiguity • Team-first approach and focus on shipped, effective outcomes • Experience shaping the roadmap • Clear communication: raising concerns and proposing solutions proactively • Daily use of AI tools, with the ability to explain areas of strength and ongoing development • Background in supply chain, ERP, CRM, B2B marketplace, or accounting software is a strong signal • UX design experience is a strong signal • Agentic systems work beyond the must-haves, such as evaluation frameworks or agent-to-agent protocols, is a strong signal • Experience using Claude Code or similar to build products independently is a strong signal • Cannabis industry experience is a strong signal

🏖️ Benefits

• Fully remote across 4 continents • Employee-friendly option terms: after 2 years, a 10-year window to exercise if you leave • 18 days PTO + 11 holidays (sick days don't count toward PTO) • Medical, dental, vision + 401(k) for US employees • The best AI tools available and a generous AI stipend for everything else • Yearly in-person team offsites • Company-wide AI growth with classes and workshops • AI demo days • AI hackathons • Access to best-in-class models and tools

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