You will get a custom AI agent using Claude, MCP, and your existing tools
Project details
You'll get a production-ready AI agent that connects to your existing tools and automates real workflows — not a chatbot demo, but a system that does actual work. I build with Anthropic's Claude API, the Model Context Protocol (MCP), and the Claude Agent SDK, giving your agent structured tool use, memory, and multi-step reasoning.
Every agent includes proper error handling, logging, and deployment configuration. Whether you need an agent that triages support tickets, processes documents, manages data pipelines, or orchestrates multi-step business workflows, I'll deliver something your team can run and extend.
I specialize in the emerging AI agent ecosystem and stay current with the latest capabilities — MCP servers, tool use patterns, and agentic architectures that most developers haven't adopted yet.
Every agent includes proper error handling, logging, and deployment configuration. Whether you need an agent that triages support tickets, processes documents, manages data pipelines, or orchestrates multi-step business workflows, I'll deliver something your team can run and extend.
I specialize in the emerging AI agent ecosystem and stay current with the latest capabilities — MCP servers, tool use patterns, and agentic architectures that most developers haven't adopted yet.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI-Generated Code, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$2,500
|
Standard
$6,000
|
Advanced
$15,000
|
|---|---|---|---|
| Delivery Time | 7 days | 21 days | 45 days |
Number of Revisions | 1 | 2 | 3 |
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 Joshua
Senior DevOps & AI Infrastructure Engineer | AWS, K8s, Go, Python
Phoenix, United States - 8:59 pm local time
Whether you need Kubernetes clusters, Terraform modules, CI/CD pipelines, cloud migrations, or custom AI agents wired into your existing workflow, I design and deliver production-ready platforms with clear documentation, runbooks, and knowledge transfer so your team stays in control after I hand off.
I'm a senior systems engineer with 15+ years in cloud and platform engineering. I've built large-scale infrastructure at companies like Ensono (7 global data centers), created StreamSpace (a Kubernetes-native container streaming platform — 66K+ lines of Go), and I'm currently building VeriSwarm, an AI agent trust and security infrastructure platform.
What I work on:
• Cloud infrastructure & migration (AWS, Azure, GCP)
• Kubernetes, Docker, and container platform engineering
• Terraform, CloudFormation, and Infrastructure as Code
• CI/CD pipeline design and automation
• AI agent development and multi-agent orchestration (Claude SDK, MCP)
• Compliance-aware architecture (SOC 2, HIPAA, ISO 42001)
Steps for completing your project
After purchasing the project, send requirements so Joshua can start the project.
Delivery time starts when Joshua receives requirements from you.
Joshua works on your project following the steps below.
Revisions may occur after the delivery date.
Agent Core & Tool Integration
Build the agent with Claude API, implement MCP servers for your tools, add structured prompts, error handling, and retry logic.
Testing & Iteration
Test the agent against real scenarios, refine prompts and tool calls, optimize for reliability, cost, and latency.