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🤖 15+ AI Agents working for you. Find jobs, score and update resumes, cover letter, interview questions, missing keywords, and lots more.
Activate Talent • Mexico
Role & seniority: AI Automation Engineer; seniority not explicitly defined (production experience required; level may vary by candidate)
Stack/tools: Lovable, OpenClaw, n8n (no/low-code AI orchestration); LLMs (OpenAI, Anthropic); bots/agents; APIs, webhooks; CRM/Slack/email/database integrations; (Nice-to-have: Zapier, Make, LangChain, AutoGen, CrewAI)
Build and deploy AI-powered automations and workflows across systems
Design/maintain AI agents, bots, and end-to-end automation from requirements to deployment
Debug, optimize, and improve performance/reliability; collaborate with product, ops, and business teams; iterate based on feedback
Proven experience building AI automations/agents in production
Hands-on with Lovable, OpenClaw, n8n or similar no/low-code orchestration tools
Strong understanding of LLMs, prompts, and agent behavior
Experience building bots and integrations (APIs, webhooks)
Systems thinking and proactive problem-solving; ability to own projects end-to-end
Experience with Zapier, Make, LangChain, AutoGen, CrewAI
Basic frontend/UI experience for internal tools
Familiarity with CRMs (HubSpot, Salesforce), databases, or analytics tools
Startup/fast-paced environment experience
Location & work type: Not specified (location and work-type details not provided)
About the Role We’re looking for an AI Automation Engineer who can design, build, and ship real-world AI systems—fast. This is not a research role. You’ll be working hands-on with tools like Lovable, OpenClaw, n8n, and AI agents/bots to automate workflows, connect systems, and deploy production-ready solutions. If you’re the kind of person who hears “We need this automated” and responds with “On it”, this role is for you. What You’ll Do Build and deploy AI-powered automations using Lovable, OpenClaw, n8n, and similar orchestration tools Design and maintain AI agents, bots, and workflow automations that connect multiple systems (CRM, Slack, email, databases, APIs, etc.) Integrate LLMs (OpenAI, Anthropic, etc.) into real workflows—not demosOwn projects end-to-end: requirements → build → test → deploy → iterateCreate scalable, reusable automations that non-technical teams can rely onDebug, optimize, and improve performance and reliability of AI workflowsCollaborate with product, ops, and business teams to identify automation opportunities How We Measure Success Automations ship quickly and actually get usedAI agents reduce manual work and errorsWorkflows are reliable, documented, and easy to iterate onStakeholders trust the systems you build Who This Is Not For Pure researchers“Prompt engineers” who haven’t shipped anythingDevelopers who need extremely detailed specs for every task What We’re Looking For Proven experience building AI automations or agents in production Hands-on experience with Lovable, OpenClaw, n8n, or similar no/low-code AI orchestration tools Strong understanding of LLMs, prompts, and agent behavior Experience building bots (Slack bots, chatbots, internal tools, etc.)Comfortable working with APIs, webhooks, and third-party integrationsAbility to think in systems and workflows, not just codeStrong problem-solving instincts—you don’t wait for perfect specs Nice to Have (But Not Required) Experience with Zapier, Make, LangChain, AutoGen, CrewAI, or similar frameworksBasic frontend or UI experience for internal toolsFamiliarity with CRMs (HubSpot, Salesforce), databases, or analytics toolsStartup or fast-paced environment experience