AI Automation Specialist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI Automation Specialist (AI/LLM): Designing and shipping AI agent solutions to automate high-friction business workflows across Marketing, Sales, and Finance with an accent on low-code/no-code tools and prompt engineering. Focus on bridging the gap between technical AI capabilities and non-technical business operations to drive organizational efficiency.
Location: Must be based in Brazil (Remote)
Company
Innovative logistics technology company optimizing supply chain operations through AI and software.
What you will do
- Partner with business leaders in Marketing, Sales, and Finance to identify high-volume workflows for AI automation.
- Design and build production-ready AI agents using low-code/no-code platforms such as n8n and Claude.
- Conduct discovery sessions to map current-state workflows and document pain points.
- Manage the full delivery lifecycle, including prototyping, user testing, iteration, and final handoff.
- Maintain a prioritized backlog of automation opportunities based on business impact and effort.
- Lead an internal AI Agents enablement program through workshops, templates, and coaching.
Requirements
- 3+ years of experience in business operations, process improvement, or technical enablement.
- Hands-on experience building automated workflows or AI agents with n8n, Make, LangChain, or Claude.
- Proficiency in prompt engineering to generate reliable, structured outputs from LLMs.
- Ability to translate non-technical business findings into actionable technical specifications.
- Fluent English (C1) for clear written and verbal communication across technical and non-technical teams.
- Strong bias for shipping working prototypes over perfect design documents.
Nice to have
- SQL or Python skills for data extraction and scripting.
- Experience with enterprise tools like Salesforce, HubSpot, Slack, Google Workspace, or Netsuite.
- Professional background in supply chain, freight, or logistics operations.
- Background in software engineering.
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