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Distru

Staff AI Product Engineer

Distru

. Architect and build a production multi-agent system operating safely across Distru and customers' core systems .

Posted 11/10/2026full-timeRemote • United StatesLead💰 $200,000 - $300,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in architecting and building multi-agent systems, ensuring reliability and observability while integrating diverse data sources. Proficient in full-stack development with a strong focus on B2B SaaS applications and effective communication within cross-functional teams.

Highest-signal resume keywords
Full-Stack DevelopmentMulti-Agent System ArchitectureReliability And ObservabilityProficiency In React, TypeScript, Node, PostgreSQL, GraphQLExperience In B2B SaaS Applications

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Full-Stack DevelopmentMulti-Agent System ArchitectureReliabilityObservabilityProficiency In ReactProficiency In TypeScriptProficiency In NodeProficiency In PostgreSQLProficiency In GraphQLAgentic Systems Work
Soft Skills
Clear CommunicationTeam-First ApproachProactive Problem Solving
Tools & Technologies
Claude CodeMCPAI ToolsAgentic Frameworks
Industry Keywords
B2B SaaSSupply ChainERPCRMB2B MarketplaceAccounting SoftwareCannabis Industry

Tech Stack

Tools & technologies
ERPGraphQLNode.jsPostgresReactTypeScript

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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