You will get Custom AI Agent Development | LLM Integration & Multi-Agent Systems
Project details
You'll get a production-ready AI Agent tailored to your business needs. With 10+ years of enterprise experience, I specialize in building intelligent systems that deliver real results—95%+ intent recognition accuracy, seamless LLM integration, and scalable architecture. I focus on clean, maintainable code with comprehensive documentation, ensuring you can easily extend and maintain the solution. From customer service chatbots to complex multi-agent workflows, I'll help you harness the power of AI to automate and enhance your operations.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI-Generated Code, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, Gradio, Hugging Face, PyTorch, StreamlitAI Models
BERT, ChatGPT, GPT-3, GPT-4, LLaMA, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$800
|
Standard
$2,000
|
Advanced
$5,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 30 days |
Number of Revisions | 2 | 3 | 5 |
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 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$200 - $800
Additional Revision
+$100Frequently asked questions
About Zhilong
AI Agent Developer | LLM & Multi-Agent Systems Specialist
Fuzhou, China - 9:08 pm local time
I design and build enterprise-grade AI Agent systems that deliver real business value. My expertise spans the full AI
development lifecycle—from intent recognition and multi-agent collaboration to production deployment at scale.
【What I Deliver】
• AI Agent platforms with 95%+ intent recognition accuracy
• Multi-agent systems using A2A and MCP protocols
• LLM integration with memory management and task decomposition
• Voice-enabled AI with 90%+ recognition accuracy
• Millisecond-level knowledge retrieval systems
【Technical Stack】
• AI/ML: LLM, NLP, Spring AI, LangChain, RAG
• Languages: Python, Java
• Infrastructure: Kubernetes, Docker, Elasticsearch
• Architecture: Microservices, Multi-region Active-Active
【Why Work With Me】
• Proven track record in enterprise AI implementations
• Strong focus on production-ready, scalable solutions
• Clear communication and reliable delivery
Ready to bring AI capabilities to your project? Let's discuss how I can help.
Steps for completing your project
After purchasing the project, send requirements so Zhilong can start the project.
Delivery time starts when Zhilong receives requirements from you.
Zhilong works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Analysis
Review your use case, define scope, and create technical specification. Discuss LLM choice and integration points.
Development & Integration
Build AI Agent with intent recognition, conversation flow, and API integrations. Regular progress updates.