You will get Multi-Agent AI Systems with Claude, OpenClaw & Automated Workflows
Project details
I design and deploy multi-agent AI systems where each agent has a defined role, communicates through structured channels, and operates autonomously. Built a 4-agent pipeline (research, strategy, production, publishing) with orchestration, budget controls, governance, and daily cron scheduling. Agents self-coordinate via WhatsApp, Slack, or custom channels. Includes version-controlled strategy evolution and full audit trails. Production-grade, not prototypes.
AI Development Type
Knowledge RepresentationWhat's included $200
These options are included with the project scope.
$200
- Delivery Time 1 day
- Number of Revisions 0
- AI Model Integration
- Detailed Code Comments
- Knowledge Graph
- Model Documentation
- Ontology
- Source Code
- Taxonomy
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About Manish
AI Engineer | Claude | AI Agents | RAG | Voice AI | LLM | Full Stack
83%
Job Success
Noida, India - 3:08 pm local time
Top Rated Plus | $200K+ Earned | 93% Job Success | 50+ Projects Delivered
I build AI systems that run in production — autonomous agents, RAG pipelines, voice bots, and AI-powered SaaS products. 8+ years in software engineering, 3+ years focused entirely on AI/LLM systems.
WHAT I HAVE BUILT
AI Agents & Multi-Agent Systems
Built a production CRM with AI-powered sales pipeline, reorder prediction, and automated analytics — Claude API driving intelligent decision-making across the platform. Developed multi-agent systems using OpenClaw with orchestration layers, scheduled automation, and governance controls. Built Google Document AI automation with n8n workflow pipelines processing thousands of documents with OCR extraction and LLM-powered classification.
RAG Pipelines & Knowledge Systems
Shipped a production RAG pipeline with multi-tenant architecture, document ingestion, smart chunking, semantic search, and voice-based retrieval via Retell AI. Built enterprise knowledge base systems with LangChain, Pinecone, Chroma — handling bulk processing queues and structured Q&A across large document sets.
Voice AI & Conversational Agents
End-to-end voice agent systems with Deepgram, Amazon Polly, and ElevenLabs. Real-time speech-to-text, LLM reasoning, and natural text-to-speech delivery. Built voice-enabled AI assistants for customer service and sales automation.
AI Automation & Workflow Engineering
Production n8n workflows with multi-step LLM chaining — Gmail triggers, Google Calendar sync, conditional branching, document extraction, and database operations. Integrated Claude API, OpenAI, and open-source LLMs into automated business workflows.
LLM Fine-Tuning & Optimization
Domain-specific model training using LoRA, QLoRA, PEFT with Unsloth and Axolotl. Fine-tuned LLaMA 3, Mistral 7B, Mixtral for medical, legal, and customer service applications. Deployed with vLLM and TensorRT-LLM on AWS SageMaker and RunPod.
AI SaaS & Full Stack Development
Complete product development — Next.js, React, TypeScript, Python, FastAPI, Node.js, PostgreSQL, Supabase, MongoDB, Tailwind CSS. From architecture to deployment on AWS, Vercel, and Docker/Kubernetes infrastructure.
STACK
AI: Claude API, OpenAI, LangChain, LlamaIndex, CrewAI, AutoGen, OpenClaw, n8n
LLMs: GPT-4, Claude Opus/Sonnet, LLaMA 3, Mistral, Mixtral, Gemma
Vector DBs: Pinecone, Chroma, Qdrant, FAISS, Weaviate, Milvus
Voice: Deepgram, Amazon Polly, ElevenLabs, Rasa AI
Backend: Python, FastAPI, Node.js, NestJS, Django
Frontend: Next.js, React, TypeScript, Tailwind CSS
Database: PostgreSQL, Supabase, MongoDB, Redis, Firebase
DevOps: Docker, Kubernetes, AWS (EC2, S3, Lambda, SageMaker), CI/CD
Available 40-50 hrs/week for long-term engagements. If you need AI that works in production, let us talk.
Steps for completing your project
After purchasing the project, send requirements so Manish can start the project.
Delivery time starts when Manish receives requirements from you.
Manish works on your project following the steps below.
Revisions may occur after the delivery date.
Agent Architecture Design
Map your workflows to individual agents. Define each agent's role, authority, communication channels, and decision boundaries. Design the orchestration layer and handoff logic
Agent Development & Integration
Build each Claude-powered agent with system prompts, standing orders, and tool access. Connect to your platforms — Slack, WhatsApp, CRM, email, databases. Set up scheduled crons and triggers