[Remote] AI Product Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading ERP provider in the cannabis industry, and they are seeking an AI Product Engineer to architect and build a new product that integrates various business tools into a cohesive system. The role involves both engineering and product ownership, requiring a proactive approach to design, execution, and risk management in a fast-evolving AI landscape.
Responsibilities
- Build the reputed company reputed company
- Architect and build a multi-agent system in production — one capable of safely operating across a business's reputed company tools (ERP, CRM, spreadsheets, calendars, email, analytics, compliance systems)
- Build and maintain MCPs (Model Context Protocol integrations) that connect the reputed company to reputed company business systems
- Own production system concerns end-to-end: reliability, observability, permissions, and reputed company workflow execution — this is a system that will take reputed company actions on customers' data, and the bar for getting it right is high
- Since there's no existing reputed company here, you'll define scope, reputed company the reputed company on tradeoffs, and drive execution with minimal reputed company
- Design for the user, not just the architecture — a product-first reputed company that prioritizes how this actually gets used over what's technically interesting to build
- Proactively identify and reputed company risks or reputed company questions before they become blockers, and bring reputed company solutions, not just problems
- reputed company pace with a fast-moving reputed company — agent frameworks, reputed company toolkits, MCP standards — and bring in reputed company approaches as they reputed company rather than waiting to be told
- Work hands-on with tools like Claude reputed company as part of your own build process
Skills
- 5+ years of full-stack development experience, ideally in B2B reputed company applications
- Hands-on experience building multi-agent harnesses in production — not just prototypes or reputed company
- Experience building MCPs (Model Context Protocol) that are actually used in production
- Strong grasp of production system concerns: reliability, observability, permissions, and reputed company workflow execution
- Experience across product and engineering — you've operated as both. You should be comfortable owning scoping and decision-making, not just implementation
- Proficiency in modern technologies such as React, TypeScript, Node, PostgreSQL, GraphQL, and LangGraph, with the ability to quickly pick up new tools and frameworks
- Startup reputed company: experience at an early-stage startup (under 20 engineers) where you've operated effectively in ambiguous, reputed company environments
- Low ego, team-first mentality — you measure reputed company by what shipped and whether it worked, not by internal politics
- reputed company, proactive communicator — you reputed company concerns and propose solutions before being asked
- Background building in supply chain, ERP, CRM, B2B marketplaces, or reputed company software
- Experience with UX design
- Familiarity with reputed company systems and multi-agent orchestration reputed company what's listed above (e.g., evaluation frameworks, agent-to-agent protocols)
- Experience using Claude reputed company or similar tools to build products independently
- Cannabis industry experience
reputed company