AI Automation Engineer | Claude AI, AI Agents, LLM Integration, n8n

We're looking for an experienced AI Automation Engineer to design, build, and deploy production-ready AI solutions powered by Claude, Anthropic API, and modern LLM technologies. The ideal candidate has experience building AI agents, workflow automation, and scalable backend systems that solve real business problems. You should be comfortable integrating AI with APIs, databases, and third-party platforms while ensuring reliability, maintainability, and performance. If you've built AI-powered applications using Claude, OpenAI, or similar models, we'd love to hear about your experience. Responsibilities Build intelligent AI agents using Claude and the Anthropic API Design prompt workflows for accurate and structured AI outputs Develop AI-powered automation for business processes Integrate LLMs with REST APIs, databases, and external services Implement Retrieval-Augmented Generation (RAG) and knowledge retrieval systems Build backend services using Python or Node.js Optimize AI response quality, latency, and cost Troubleshoot and improve production AI workflows Collaborate on scalable system architecture and deployment Document implementation and maintain clean, well-structured code Required Skills Claude AI / Anthropic API AI Agents LLM Integration Prompt Engineering n8n Workflow Automation LangChain or similar AI frameworks Python or Node.js REST APIs Vector Databases RAG (Retrieval-Augmented Generation) JSON Structured Outputs Git & Version Control Nice to Have OpenAI API Google Gemini MCP (Model Context Protocol) LangGraph CrewAI AutoGen Supabase PostgreSQL Pinecone, Qdrant, Weaviate, or ChromaDB Docker Cloud deployment (AWS, GCP, Azure, Railway, Render, or Vercel) Preferred Experience Candidates with experience building one or more of the following are encouraged to To Apply Please include: Relevant AI automation or AI agent projects Technologies and LLMs you've worked with Your role in those projects Any production deployments or real-world AI implementations