I will architect a scalable multi agent ai integration backend


Level 2
About this gig
Stop building fragile GPT wrappers. Enterprise AI demands robust infrastructure.
Most AI projects fail in production because they lack professional backend architecture. I specialize in engineering high-performance, scalable AI engines using Go (for concurrency/speed) and Python (for LLM logic).
What I Deliver:
Multi-Agent Orchestration: Autonomous agent fleets that execute complex business workflows.
Enterprise RAG: High-accuracy vector database integration (Pinecone/Postgres/Redis) for secure internal data.
Production-Ready Ops: Fully dockerized services, Kubernetes-ready deployments, and self-healing pipelines.
Secure Middleware: Proprietary Go-based API routing for maximum throughput and reliability.
The Tech Stack:
Go, Python, LangChain, Docker, Kubernetes, Vector DBs, Redis.
Why This Gig?
I am a Senior Platform Engineer, not an "AI enthusiast". I don't just write scripts; I build resilient software designed for 24/7 production environments.
Note: I provide commercial usage licenses for the configuration and integration. Core orchestration IP remains mine to ensure managed updates and long-term stability.
Contact me to discuss your architecture before ordering.
Get to know Daniel Goldberg
DevOps Engineer, Cloud Architect, Native Hebrew Translator
Level 2
- FromIsrael
- Member sinceMay 2020
- Avg. response time1 hour
- Last delivery1 day
Languages
English, Hebrew

Ralph Lauren
Textiles, Apparel & Luxury Goods

Samsung
Electrical Engineering

LG Electronics
Household Durables
My Portfolio
FAQ
Do I get the full source code for the AI orchestration engine?
No. You receive a perpetual commercial use license for the deployment, API configurations, and custom integrations. The core Go/Python orchestration IP remains mine to ensure system stability and allow for managed infrastructure updates.
Can I just place an order for the Standard or Premium tier right now?
Please contact me first. Enterprise deployments require a brief technical alignment. I need to understand your current infrastructure (AWS/GCP, database schemas) to ensure this multi-agent architecture is a viable fit before we begin.
How is this different from a standard Python AI script?
Basic Python scripts fail under concurrent enterprise loads. I architect the middleware routing in Go for speed and memory efficiency, wrap the LLM logic in Python, and deploy everything via self-healing Docker/Kubernetes containers.
What exactly does the Basic (PoC) package include?
The Basic tier is a Proof of Concept designed to validate the architecture. I will securely engineer one single API connection between your system and an LLM. It does not include the full multi-agent routing or database integration.
