Multi-Agent Systems (LangGraph, n8n, GenAI)

An AI-powered concierge system that transforms hotel guest services through specialized AI agents working together to handle bookings, recommendations, travel planning, and customer support - all through natural conversation.

Required experience:
- 2+ years with AWS Bedrock, Azure Foundry, LangGraph, n8n, or similar enterprise GenAI & multi-agent orchestration frameworks (including Agent-to-Agent communication protocols)
- 2+ years with LLMs in production (Claude, GPT-4/5, Gemini)
- 5+ years of backend and frontend development (NodeJS, TypeScript, React)
- 2+ years with Supabase and PostgreSQL (including Supabase serverless Edge Functions)

Supplementary Skills (a big plus):
- Payment integrations (Stripe)
- Map APIs (Mapbox)
- Multi-language AI systems
- Hospitality/travel industry knowledge

Responsibilities:
- Develop a production-ready MVP based on existing prototypes
- Design and implement specialized AI agents (booking, concierge, travel) and their orchestration
- Optimize LLM prompts and response quality
- Monitor performance and control AI costs
- Implement safety validation and error recovery
- Manage API integrations (Stripe, Mapbox, document parsing)