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AI Automation Expert | n8n | Claude Code | Long-Term

Budget: $8.0 - $35.0 HOURLY / FULL_TIME ⭐ 4.99 (14) India

artificial-intelligence

We're looking for an experienced AI Automation Engineer who can design and build intelligent automation systems powered by LLMs and modern backend technologies. This isn't just about creating workflows—we need someone who understands system architecture, API integrations, AI agents, document processing, cloud infrastructure, and scalable automation. If you enjoy solving complex automation problems and building production-ready AI systems, we'd love to work with you. What You'll Build You'll work on projects such as: AI Agents using OpenAI GPT-4, Claude, and LangChain n8n automation workflows Intelligent document processing Semantic search using vector databases API integrations between SaaS platforms AI-powered business automation MCP Server & MCP Client integrations Backend services supporting AI applications Workflow orchestration with webhooks and event-driven systems Responsibilities Design scalable AI automation architectures Build and maintain complex n8n workflows Integrate OpenAI, Claude, Whisper, and other LLM APIs Develop REST and GraphQL APIs Build AI agents and multi-step workflows Create document parsing and RAG pipelines Implement semantic search using vector databases Integrate third-party platforms including Stripe, HubSpot, Shopify, QuickBooks, Xero, Slack, Notion, and CRMs Connect systems using webhooks, OAuth, and secure API authentication Optimize workflows for speed, reliability, and scalability Debug production automation issues Write clean, maintainable, well-documented code Required Skills AI & LLM OpenAI GPT-4 / GPT-4o Claude LangChain AI Agents RAG Prompt Engineering Embeddings Semantic Search Vector Databases Automation n8n Workflow Automation API Automation Webhooks REST APIs OAuth JSON Backend Node.js JavaScript TypeScript Python Express GraphQL Cloud AWS Lambda API Gateway DynamoDB S3 ECS Fargate Docker CloudFormation Databases MongoDB Atlas DynamoDB LanceDB PostgreSQL Nice to Have Payload CMS MCP Server MCP Client Claude Code Make.com Twilio ElevenLabs React Next.js Ideal Candidate We're looking for someone who: Has built production AI automation systems Has strong backend engineering experience Understands LLM architecture—not just API calls Can own projects from planning to deployment Writes clean, scalable code Communicates proactively Thinks like a technical partner rather than a task executor Bonus Experience Experience with any of the following is highly valued: AI document processing RAG systems Multi-agent workflows Vector databases (LanceDB, Pinecone, Weaviate, Chroma) Claude Code MCP protocol SaaS platforms CRM automation Billing integrations Technical project leadership Engagement Long-term opportunity Flexible hours Ongoing AI projects Competitive hourly rate based on experience Opportunity to lead architecture decisions When Applying Please include: Your best n8n automation project. AI agent or LLM application you've built. APIs you've integrated. Experience with OpenAI, Claude, or LangChain. Experience with MCP Server/Client (if any). GitHub, portfolio, or relevant project links. A brief explanation of the most technically challenging automation you've delivered. Why this post matches Uma well
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