AI Automation Engineer | AI Agents | n8n | Make | LLM Integrations
Budget: -
HOURLY / FULL_TIME
⭐ 4.95 (37)
Argentina
artificial-intelligence
Qualifiche preferite
- Esperienza: Intermedio
We're looking for an experienced AI Automation Engineer to design and implement intelligent workflows that streamline operations, reduce manual work, and integrate AI into real business processes.
This role is ideal for someone who combines software engineering with modern AI technologies to build scalable automation systems using LLMs, workflow automation platforms, APIs, and production-ready infrastructure.
Responsibilities
Design and build AI-powered workflows using n8n, Make, Zapier, or similar automation platforms
Develop AI agents and LLM-powered applications using OpenAI, Claude, Gemini, or other leading models
Integrate AI solutions with CRMs, databases, APIs, and third-party platforms
Build Retrieval-Augmented Generation (RAG) systems for knowledge retrieval and AI assistants
Develop custom API integrations and backend services to support automation workflows
Optimize workflows for reliability, scalability, security, and performance
Document solutions and provide handoff materials for internal teams
Collaborate with stakeholders to identify automation opportunities and translate business requirements into technical solutions
Troubleshoot, maintain, and continuously improve existing AI systems
Requirements
3+ years of experience building workflow automations or AI-powered applications
Hands-on experience with n8n, Make, Zapier, or similar automation platforms
Experience integrating OpenAI, Claude, Gemini, or other LLM APIs
Strong programming skills in JavaScript/TypeScript or Python
Experience working with REST APIs, webhooks, and third-party integrations
Understanding of databases, authentication, and cloud-based architectures
Excellent communication skills and fluent English
Nice to Have
Experience building AI agents using LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks
Experience developing RAG pipelines using Pinecone, pgvector, Weaviate, FAISS, or Supabase
Familiarity with Salesforce, HubSpot, GoHighLevel, or other CRM platforms
Experience deploying applications on AWS, Vercel, Railway, or similar cloud platforms
Knowledge of Docker, CI/CD, and production monitoring
Experience building AI SaaS products or internal AI tools
We're looking for someone who can think beyond simple automations and build intelligent, production-ready systems that improve efficiency, eliminate repetitive work, and create long-term value through AI.
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