You will get an autonomous AI agent runtime on your infrastructure

Name: You will get an autonomous AI agent runtime on your infrastructure
Availability: InStock

Sadie T.

Sadie T.

Project details

I will build a private autonomous agent runtime on your infrastructure. This is not a chatbot. It is a production operating environment where AI agents run business workflows with model routing, cost controls, runtime boundaries, heartbeat monitoring, and operational documentation. I have built and operate a live multi-agent stack with 5 registered agents, model fallback policies, and private networking. You get an agent system designed like production infrastructure, not a prompt experiment.

AI Algorithms

Large Language Model

AI Applications

AI Chatbot

AI Development Language

Python

AI Tools

Azure OpenAI, Hugging Face, NVIDIA AI Platform

AI Models

ChatGPT, GPT-4, OpenAI Codex

What's included

Service Tiers	Starter $1,500	Standard $5,000	Advanced $15,000
Delivery Time	7 days	21 days	45 days
AI Model Integration	-	-	-
Batch Normalization	-	-	-
Database Integration	-	-	-
Detailed Code Comments	-	-	-
Image Upscaling	-	-	-
MLOps	-	-	-
Model Deployment	-	-	-
Model Documentation	-	-	-
Model Monitoring	-	-	-
Model Testing & Optimization	-	-	-
Model Tuning	-	-	-
Natural Language Processing	-	-	-
NLP Tokenization	-	-	-
Pre-Training	-	-	-
Prompt Engineering	-	-	-
Setup File	-	-	-
Source Code	-	-	-

Frequently asked questions

About Sadie

Autonomous Agents Engineer | AI Infrastructure | Systems Admin

Shelburne, United States - 2:58 pm local time

I build autonomous agent systems and the infrastructure behind them: private AI environments, persistent memory, secure credential access, RAG knowledge layers, MCP integrations, workflow orchestration, and the operational controls that make agent systems usable in real work.

My background combines systems administration, platform engineering, and hands-on IT operations. I have 16 years of IT experience, so I approach AI systems like production systems, not demos. I think about uptime, permissions, observability, failure modes, documentation, and handoff, not just prompts.

My work includes multi-agent runtime design, secure vaults, encrypted communications, agent memory pipelines, MCP server integrations, operator dashboards, billing and audit systems, and deployed SaaS tools. I also build practical workflow tools for day-to-day operations, including monitoring systems, notification tools, field workflow automation, and AI-supported reporting interfaces.

I can help with:

- autonomous agent architecture
- RAG and knowledge systems
- MCP server and tool integration
- secure AI infrastructure and credential handling
- systems administration for agent runtimes, Docker, and VPS environments
- workflow automation and operator dashboards
- production hardening, documentation, and handoff

If you need more than a chatbot and want an engineer who can make agent systems secure, reliable, and operational, I’m a strong fit.

Steps for completing your project

After purchasing the project, send requirements so Sadie can start the project.

Delivery time starts when Sadie receives requirements from you.

Sadie works on your project following the steps below.

Revisions may occur after the delivery date.

You describe your workflows, hosting constraints,

You describe your workflows, hosting constraints, and which tools agents need to reach.

I architect the runtime: agent definitions, model

I architect the runtime: agent definitions, model routing, workspace isolation, monitoring, and cost policies.