ABOUT CONTENTJET<\/strong><\/p>\nContentJet is a Canadian UGC creative agency that connects brands with creators to produce high-performing user-generated content at scale. We serve global clients across e-commerce, healthcare, and marketing verticals. Our core belief: every manual, repetitive task inside an agency can and should be replaced by an AI agent or automation. We use Claude Code CLI, Claude Cowork with MCP connectors, OpenClaw, n8n, VAPI, and custom multi-agent systems to eliminate manual work across every layer of our operations \u2014 from creator sourcing and outreach to content production, team coordination, and client delivery.<\/p>\n
THE MISSION: REPLACE MANUAL WORK WITH AI AGENTS<\/strong><\/p>\nContentJet is on a mission to become a fully AI-native agency. That means every workflow that currently requires a human clicking, copying, pasting, searching, emailing, or following up manually should be handled by an AI agent instead. We\u2019re not looking for someone to build chatbots \u2014 we\u2019re looking for someone who can systematically identify manual bottlenecks across our operations and replace them with autonomous agent systems that run 24\/7 without human intervention.<\/p>\n
This includes: creator discovery and vetting, outreach campaign creation, brief reading and task assignment, content pipeline management, quality control, reporting, team notifications, client communication, and any repetitive operational task that currently eats human hours.<\/p>\n
THE ROLE<\/strong><\/p>\nYou are the person who designs and builds complete AI agent systems from concept to production. You will own the architecture of multi-agent pipelines \u2014 defining agent roles, communication flows, tool integrations, and orchestration logic.<\/p>\n
You will work extensively with Claude Code CLI to build, test, and iterate on agent systems directly from the terminal \u2014 writing production-grade code, managing project structures, and leveraging Claude\u2019s coding capabilities for rapid development. You will use Claude Cowork with MCP connectors to orchestrate complex workflows that read from Monday.com, discover creators on TikTok\/Modash, create Instantly campaigns, produce personalized documents, and coordinate across Slack channels \u2014 all without manual intervention.<\/p>\n
You will deploy agents via OpenClaw, our open-source AI agent gateway, to make them accessible across multiple platforms (Slack, Telegram, web) with full DM and group chat support, tool management, and multi-model routing.<\/p>\n
WHAT YOU WILL DO<\/strong><\/p>\n\n- \n
Systematically audit ContentJet\u2019s operations to identify every manual task that can be replaced by an AI agent or automation<\/p>\n<\/li>\n
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Design and build multi-agent systems that fully replace manual workflows: creator sourcing, outreach, qualification, brief processing, campaign management, reporting, and team coordination<\/p>\n<\/li>\n
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Use Claude Code CLI as your primary development environment to build, debug, and ship agent systems rapidly from the terminal<\/p>\n<\/li>\n
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Build complex automation workflows using Claude Cowork with MCP connectors \u2014 orchestrating Monday.com, TikTok, Modash, Instantly, Google Drive, Slack, and other platforms into seamless, zero-touch pipelines<\/p>\n<\/li>\n
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Deploy and configure agents via OpenClaw for multi-platform delivery (Slack, Telegram, web interfaces) with DM and group chat support<\/p>\n<\/li>\n
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Architect agent communication flows, decision trees, tool-use schemas, and escalation logic within the OpenClaw gateway<\/p>\n<\/li>\n
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Integrate agents with external tools via APIs and MCP connectors (Monday.com, Modash, TikTok, Instantly, Apollo, Apify, Firecrawl, ElevenLabs, Creatomate, etc.)<\/p>\n<\/li>\n
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Build AI-powered creator sourcing and outreach pipelines \u2014 from Monday.com brief reading through creator discovery to Instantly campaign creation, with personalized Word document guides produced automatically for team members<\/p>\n<\/li>\n
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Build AI voice agents using VAPI + Claude + Twilio\/Telnyx for creator and lead qualification, replacing manual phone screening<\/p>\n<\/li>\n
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Write production-grade Python agent code with proper error handling, logging, Slack integration (multi-channel), and monitoring<\/p>\n<\/li>\n
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Design prompt systems at the systems level \u2014 agent instructions, OpenClaw tool configurations, Claude Cowork task definitions, output parsing, and quality control<\/p>\n<\/li>\n
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Create CLAUDE.md project files for agent codebases following enterprise-grade standards (security, design philosophy, code organization)<\/p>\n<\/li>\n
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Continuously look for new manual processes to automate \u2014 the goal is zero manual work for repetitive tasks<\/p>\n<\/li>\n<\/ul>\n
MUST-HAVE SKILLS<\/strong><\/p>\n\n- \n
Python (production-level, not just scripting) \u2014 you write code that runs in production 24\/7<\/p>\n<\/li>\n
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Deep prompt engineering \u2014 system-level agent instructions, multi-step reasoning chains, tool-use orchestration, not simple chatbot prompts<\/p>\n<\/li>\n
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Claude Code CLI proficiency \u2014 comfortable building, testing, and shipping entire projects from the terminal using Claude as a coding partner<\/p>\n<\/li>\n
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Claude Cowork experience \u2014 ability to design and execute complex multi-step workflows using MCP connectors to orchestrate across platforms<\/p>\n<\/li>\n
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Experience with OpenClaw or similar AI agent gateways\/orchestration frameworks for multi-platform agent deployment<\/p>\n<\/li>\n
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API integration experience (REST, webhooks, OAuth, API chaining) \u2014 you can wire any two systems together<\/p>\n<\/li>\n
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Experience building multi-agent or multi-step AI systems (CrewAI, AutoGen, LangGraph, or custom builds)<\/p>\n<\/li>\n
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Strong understanding of MCP (Model Context Protocol) \u2014 how to connect Claude to external tools, databases, and services<\/p>\n<\/li>\n
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Understanding of agent design patterns: ReAct, tool-use, delegation, human-in-the-loop, autonomous decision-making<\/p>\n<\/li>\n
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Experience deploying agents across multiple platforms (Slack bots, Telegram bots, web chat)<\/p>\n<\/li>\n
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Strong English communication (written) \u2014 you\u2019ll write agent specs, workflow documentation, and team guides<\/p>\n<\/li>\n<\/ul>\n
NICE-TO-HAVE<\/strong><\/p>\n <\/strong><\/p>\n\n- \n
Familiarity with n8n (self-hosted) for workflow automation alongside agent systems<\/p>\n<\/li>\n
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Background in UGC, creator economy, influencer marketing, or content operations<\/p>\n<\/li>\n
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Experience with Monday.com API, Modash, TikTok Creator Marketplace, or similar creator tools<\/p>\n<\/li>\n
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Experience configuring OpenClaw for multi-platform deployment with tool availability management and config troubleshooting<\/p>\n<\/li>\n
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French or Arabic language skills (for MENA market projects)<\/p>\n<\/li>\n<\/ul>\n
WHAT SUCCESS LOOKS LIKE<\/strong><\/p>\nWithin 30 days: You\u2019ve audited our current manual workflows, deployed your first multi-agent system via OpenClaw integrated with Slack, and shipped a working creator sourcing automation using Claude Cowork with MCP connectors.<\/p>\n
Within 60 days: You\u2019ve replaced at least 3 major manual workflows with autonomous agent systems. You\u2019re independently designing agent architectures using Claude Code CLI and deploying them via OpenClaw with minimal direction.<\/p>\n
Within 90 days: You\u2019re leading AI agent delivery across 5\u20139 concurrent automation projects, have eliminated the majority of repetitive manual tasks in our operations, and are training team members on agent-powered workflows. Manual work at ContentJet is the exception, not the norm.<\/p>\n
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To apply:<\/strong> https:\/\/weworkremotely.com\/remote-jobs\/contentjet-inc-ai-agent-architect-builder<\/a><\/p>\nPython, Artificial Intelligence (AI), Prompt Engineering, API Integration, and Claude.ai<\/p>\n
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