You will get Custom Agent Designs, Seamless LLM Integration: GPT-4, Claude 3, or LLaMA 3
Project details
Modern businesses in finance, banking, technology, and retail are increasingly burdened by repetitive decision-making, manual processes, and delayed customer interactions.
I help organizations build enterprise-ready multi-agent AI systems using LangChain, LangGraph, and top LLMs like GPT-4, Claude 3, and LLaMA 3 to automate workflows, enable intelligent decision-making, and operate at scale — without exponentially increasing operational costs.
🎯 What You Will Get
Custom Agent Designs: Planner Agents for task breakdown, Tool Agents for external system interaction, Decision-Maker Agents for autonomous decisions
Seamless LLM Integration: GPT-4, Claude 3, or LLaMA 3 with adaptive prompt chaining
Memory Management: Context retention using vector stores (Pinecone/FAISS) to enable multi-turn conversations and task continuity
Multi-Tool Orchestration: Real-time integrations with APIs, databases, and SaaS platforms (CRM, ERP, etc.)
Cloud-Native Deployment: Optional deployment on AWS, Azure, or GCP with Docker/Kubernetes for scalability
End-to-End Documentation: Architecture diagrams, source code documentation, and handover guides
I help organizations build enterprise-ready multi-agent AI systems using LangChain, LangGraph, and top LLMs like GPT-4, Claude 3, and LLaMA 3 to automate workflows, enable intelligent decision-making, and operate at scale — without exponentially increasing operational costs.
🎯 What You Will Get
Custom Agent Designs: Planner Agents for task breakdown, Tool Agents for external system interaction, Decision-Maker Agents for autonomous decisions
Seamless LLM Integration: GPT-4, Claude 3, or LLaMA 3 with adaptive prompt chaining
Memory Management: Context retention using vector stores (Pinecone/FAISS) to enable multi-turn conversations and task continuity
Multi-Tool Orchestration: Real-time integrations with APIs, databases, and SaaS platforms (CRM, ERP, etc.)
Cloud-Native Deployment: Optional deployment on AWS, Azure, or GCP with Docker/Kubernetes for scalability
End-to-End Documentation: Architecture diagrams, source code documentation, and handover guides
AI Development Type
Deep Learning, Model Tuning, Recommendation System, Software MaintenanceWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,500
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 15 days |
Number of Revisions | 1 | 2 | 5 |
AI Model Integration | |||
Detailed Code Comments | - | ||
Knowledge Graph | |||
Model Documentation | - | - | |
Ontology | - | - | |
Source Code | |||
Taxonomy | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$250 - $500
Additional Revision
+$100About B
AI & Machine Learning | Amazon Web Services, Artificial Intelligence
Bengaluru, India - 7:32 pm local time
12+ years across Software Engineering, Data Science, Machine Learning,
and Generative AI.
Deep expertise in Agentic AI, Multi-Agent Systems, LLM Cost
Optimization, and AI Content Authenticity (Watermarking Research).
Proven track record across Finance, Banking, Technology, and Retail
domains.
Strong leadership in cross-functional AI projects, scalable deployments,
and enterprise-grade AI system designs.
Steps for completing your project
After purchasing the project, send requirements so B can start the project.
Delivery time starts when B receives requirements from you.
B works on your project following the steps below.
Revisions may occur after the delivery date.
Review of Business Requeirements