Distru is building AI infrastructure and an agentic product suite on top of its ERP and B2B eCommerce platform for the cannabis industry.
Role: Own the architecture and technical direction of Distru’s AI product suite, partnering with AI engineering leadership and reporting to the VP of Engineering and Director of AI Engineering.
- Architect and build a production multi-agent system that safely operates across Distru and customers’ core systems.
- Build and maintain the MCP connecting Distru to Claude and Codex, including tools that expose unified customer data.
- Develop contextual memory systems that ingest customer data and personalize agent experiences.
- Own reliability, observability, durable execution, and safe workflows; write evaluation suites based on real customer use cases.
- Set architectural standards for building, testing, and shipping agents, and guide the engineering team.
- Research and prototype new agentic frameworks, models, and approaches; build hands-on with Claude Code or similar tools.
- Work directly with customers and the product and go-to-market teams.
Requirements:
- 7+ years of full-stack development experience, ideally with B2B SaaS.
- Production experience building multi-agent harnesses and MCPs.
- Strong understanding of reliability, observability, permissions, and safe workflow execution.
- Experience owning product scope and engineering decisions, shaping roadmaps, and setting direction at an early-stage startup.
- Proficiency in React, TypeScript, Node, PostgreSQL, GraphQL, and LangGraph.
- Daily use of AI tools, with experience putting agents in front of real users using guardrails, observability, and rollback mechanisms.
- Strong communication and a team-first approach.
Nice to have: Experience with supply chain, ERP, CRM, B2B marketplace, or accounting software; UX design; agent evaluation frameworks or agent-to-agent protocols; building products with Claude Code or similar; cannabis industry experience.
Benefits and work conditions: Fully remote across four continents; employee-friendly stock option exercise terms; 18 days of PTO plus 11 holidays; US employees receive medical, dental, vision, and 401(k) benefits. AI tools and stipend, yearly in-person team offsites, and company-wide AI classes, workshops, demo days, and hackathons. Benefits vary by country and employment type.