I will develop an ai powered saas with llm orchestration

G
gabriel_victor9
G
gabriel_victor9
Gabriel P
develop an ai powered saas with llm orchestration
develop an ai powered saas with llm orchestration
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About this gig

Move beyond simple chatbots. Build a "Thinking" AI Platform.

I am a Systems Engineer specialized in high-performance AI Orchestration. While others just connect an API, I build distributed AI systems that reason, execute tasks, and scale using Golang and Next.js.

WHAT I OFFER:

  • Multi-Agent Orchestration: Custom workflows where AI agents collaborate to solve complex problems (Router/Wizard architecture).
  • RAG Systems: Connect your AI to private data using Vector Databases (pgvector) for hallucination-free answers.
  • High-Performance Go Backend: Scalable APIs built with Encore or Fiber, using Redis for real-time event processing.
  • Smart UI: Real-time streaming (SSE), interactive AI dashboards, and sleek Next.js interfaces.

️ MY TECH STACK:

  • Languages: Go (Golang), TypeScript.
  • AI: Gemini, OpenAI, Claude, MCP (Model Context Protocol).
  • Infra: Redis, PostgreSQL, Docker, Supabase.

WHY ME? Enterprise Grade: Experience building frameworks with asynchronous task delegation. Scalability: I use Go for its concurrency power and low latency. Clean Architecture: Production-ready code, not just a prototype.

Please contact me before ordering to discuss your AI workflow!

  • AI engine

    • GPT
    • Gemini
    • Claude

  • Programming language

    • Go
    • JavaScript
    • Python
    • TypeScript
    • React

Get to know Gabriel P

Gabriel P

Full Stack Developeer

  • FromBrazil
  • Member sinceFeb 2026
  • Avg. response time2 days

  • Languages

    English, Portuguese, Italian, Spanish
I build scalable full-stack web applications with a strong focus on AI features and real-time experiences. What I can deliver: ° Next.js + TypeScript frontend (dashboards, portals, admin panels) ° Go/Fiber backend APIs (REST, auth, integrations, real-time events) ° AI/LLM integration (chat flows, model routing/orchestration, prompt features) ° Google API integrations (OAuth, Search, Workspace) ° Production setup (Docker, CI/CD, deployment-ready architecture) Tech stack: Next.js, React, TypeScript, Go, Fiber, WebSocket, Docker, Kubernetes, SQL/Cloud integrations.

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