Agentic AI Developer (LATAM)

 Posted 7 months ago
     
5-10 years experience
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AI Summary

Design, build, and deploy agentic AI systems that autonomously plan, execute, and optimize marketing tasks. Collaborate with marketing and data teams to identify high-ROI use cases for AI agents.

Job Overview: 
Are you the kind of engineer who loves turning chaos into clean, automated magic? Do you get excited about AI agents that can plan, execute, and optimize marketing campaigns on their own?

We’re looking for an AI Automation Engineer to build smart, self-learning systems that power marketing across Meta, Google, TikTok, and more. If you’re all about blending AI, automation, and real results. This is your stage.

Core Tasks:

  • Design, build, and deploy agentic AI systems that autonomously plan, execute, and optimize marketing tasks (e.g., campaign setup, ad testing, creative generation, and reporting)
  • Integrate LLMs, APIs, and marketing platforms (Roku ads platform, Meta, TikTok, Google Ads, etc.) into cohesive multi-step agent frameworks
  • Develop memory, reasoning, and feedback loops for agents to improve over time
  • Implement automation pipelines connecting data sources (e.g., CRM, Sheets, analytics dashboards) to agentic workflows
  • Collaborate with marketing and data teams to identify high-ROI use cases for AI agent
  • Maintain system performance, logging, and monitoring to ensure safe, efficient operation
Must Haves:
  • 5+ years of development experience with Python or Node.js
  • Strong understanding of LLMs, vector databases, API orchestration, and agent frameworks (LangChain, CrewAI, AutoGen, etc.)
  • Proven experience integrating marketing APIs (Meta, Google, TikTok, etc.)
  • Familiarity with prompt engineering, tool calling, and autonomous task planning
  • Experience with cloud deployment (AWS, GCP, or Azure)
  • Strong communication and documentation skills
  • Strong (C-level) written and verbal English communication skills
  • ​​​​​​​Ability to work full-time EST

​​​​​​​Nice to Haves:
  • Prior experience in marketing automation or ad tech systems
  • Exposure to React, RAG, or self-reflective agent architectures
  • Experience working in a startup or fast paced environment

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