You will get AI-Powered Multi-Agent System Development & Automation
Project details
I build custom multi-agent AI systems that automate complex business workflows. Each project includes end-to-end design, implementation, and deployment of autonomous agent networks that communicate, coordinate, and execute tasks across your infrastructure.
My approach combines:
• Agent orchestration frameworks (LangGraph, CrewAI, AutoGen)
• Scalable message-passing architectures between specialized AI agents
• Integration with your existing APIs, databases, and cloud services
• Monitoring, logging, and observability for agent behavior
• Security-hardened deployments on your infrastructure (VPS, cloud, or on-prem)
Every project is delivered with comprehensive documentation and a handoff session.
My approach combines:
• Agent orchestration frameworks (LangGraph, CrewAI, AutoGen)
• Scalable message-passing architectures between specialized AI agents
• Integration with your existing APIs, databases, and cloud services
• Monitoring, logging, and observability for agent behavior
• Security-hardened deployments on your infrastructure (VPS, cloud, or on-prem)
Every project is delivered with comprehensive documentation and a handoff session.
What's included
| Service Tiers |
Starter
$150
|
Standard
$350
|
Advanced
$750
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 0 | 0 | 0 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code | - | - | - |
About Jeff
AI Infrastructure Engineer Multi-Agent Systems, LLM Serving, DevOps
The Hague, Netherlands - 9:58 pm local time
I'm the engineer behind a distributed production mesh of 7+ autonomous AI agents spanning bare-metal servers, cloud VPS, ARM edge devices, and workstations — all interconnected over a zero-trust mesh VPN. This isn't a homelab. It's a working, customer-facing platform handling real traffic, WebSocket connections, and multi-tenant isolation — all running on ~$30/month of infrastructure.
What I do:
Multi-Agent AI Infrastructure
- Design and deploy autonomous agent networks with specialized sub-agents (orchestrators, executors, memory keepers, monitors)
- Cross-instance agent state sync, health monitoring, and auto-recovery
- Role-based task delegation with security boundaries between agents
- Voice-note processing pipelines, scheduled cron-driven workflows, real-time dashboards
Production LLM Serving
- Serve open-weight LLMs with vLLM, Ollama, and llama.cpp across heterogeneous hardware (AVX512, CUDA, ARM)
- API routing and failover across multiple inference providers
- Structured output enforcement (JSON mode, grammar-constrained generation)
- Quantization and model optimization for cost-constrained environments
DevOps & Infrastructure
- Multi-host orchestration with Docker Compose, Nginx reverse proxying, systemd, and PM2 process management
- Zero-trust networking with WireGuard-based mesh VPNs
- Server hardening: SSH key-only auth, fail2ban, automated security audits, read-only filesystem mounts
- Cost-optimized VPS provisioning across providers, with automated failover between hosts
Agent Platform Engineering
- Multi-tenant customer deployments with WebSocket tunnels — every customer gets an isolated instance, no shared state
- Custom shell daemons for secure remote command execution
- Built a production-ready DevOps Agent Kit (8 integrated skills) that automates server provisioning, testing, and monitoring
Infrastructure Rescue & Optimization
- I specialize in taking messy, over-engineered, or neglected infrastructure and turning it into something you can sleep through the night knowing it works
- I've debugged SSH lockouts, resurrected dying Raspberry Pi boot volumes, and cut monthly hosting bills by 80% without touching performance
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My standards:
- Everything is documented. Every config change, every deployment decision, every failure mode
- Everything is automated or scheduled — I don't believe in manual maintenance
- I triple-verify before declaring anything broken. False alarms waste more time than real outages
- I communicate in plain language. No buzzword salad. You'll know exactly what I'm doing and why
Tech I work with daily:
Python, Go, Bash, Docker, Nginx, PM2, systemd, vLLM, Ollama, llama.cpp, WireGuard, OpenWRT, Terraform, Prometheus/Grafana stacks, CI/CD pipelines, WebSocket protocols, REST API design, PostgreSQL, SQLite
Hardware experience:
x86-64 servers (AVX512, AVX2), ARM64 (Raspberry Pi 4/5, Apple Silicon), CUDA-capable GPUs, single-board edge devices
Preferred engagement types:
- Ongoing infrastructure retainer (monitoring, maintenance, optimization)
- Project-based builds (agent system deployment, inference server setup, server migration)
- One-off rescue / audit / optimization sprints
- Technical consulting (architecture review, cost optimization, security hardening)
I'm a solo operator who can take a project from whiteboard to production. You get one reliable point of contact who knows every line of config and every running process. If you want to talk to a PM who forwards tickets to a junior engineer, I'm not your guy. If you want someone who ships, I am.
Steps for completing your project
After purchasing the project, send requirements so Jeff can start the project.
Delivery time starts when Jeff receives requirements from you.
Jeff works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Analysis
Review your project requirements, system architecture, and define agent communication protocols and data flow patterns
Agent System Development
Build and configure the multi-agent network with specialized agents, task routing, and orchestration logic