Staff AI Product Engineer
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Job Description
Staff AI Product Engineer building production multi-agent systems for Distru’s cannabis ERP platform. Owning MCPs, context layers, evaluations, and AI product architecture.
Responsibilities:
- 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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