AI Automation Expert | n8n | Claude Code | Long-Term
Бюджет: $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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