I will build your ai agent and multi agent pipeline or rag system


About this gig
I build production-grade AI agents that don't just answer questions, but also reason, plan, act, use tools, and even correct themselves when things go wrong.
For 6+ years, I have built production-grade agentic AI systems, including LangGraph multi-agent pipelines, RAG-based copilots, and autonomous n8n workflow agents, among other systems, at Polar Bear Systems and MurtazAI. No demos, but actual production-grade systems that run every day, not just answer questions, and act, not just plan.
WHAT I BUILD
- LangGraph and CrewAI multi-agent pipelines
- RAG and GraphRAG knowledge retrieval systems
- n8n agentic workflow automation
- WhatsApp / Telegram AI assistants
- LLM-based triage, support, and decision engines
- Financial and crypto trading agents
- Data ingestion and AI classification pipelines
WHY IT MATTERS
Most AI projects fail, and most "integrations" are just an LLM call with no planning, no tools, and no error recovery. I build agents that complete the task, not just begin it, with state, tools, memory, and self-correction mechanisms.
YOUR DATA IS SAFE
Strictly confidential. NDA available upon request.
Tell me what you want your AI to do, and I'll build it.
Get to know Ali Murtaza
Vibe Coding Terminal Coding
- FromPakistan
- Member sinceJul 2023
- Avg. response time1 hour
- Last delivery1 year
Languages
English
My Portfolio
Other AI Development Services I Offer
FAQ
What is the difference between a chatbot and an AI agent?
A chatbot responds to messages. An agent plans, uses tools, takes actions, searches the web, writes files, calls APIs, queries databases, and iterates until a multi-step task is fully complete. I build agents, not just chatbots.
Which LLM do you use, OpenAI or Claude?
Either, or both. I work with OpenAI GPT-4o, Claude Sonnet (via API or AWS Bedrock), Google Gemini, and open-source models via Hugging Face and Together AI.
Can the agent connect to my existing systems and APIs?
Yes. I build tool integrations for any REST API, database (PostgreSQL, MySQL, MongoDB), WhatsApp, Gmail, Google Drive, Slack, CRM platforms, or custom data source.
Can you build a RAG system for my documents?
Yes. I build RAG pipelines that ingest PDFs, Word documents, web pages, spreadsheets, and databases into a vector store (Pinecone, FAISS, or Weaviate), then wire them to an agent that retrieves and reasons over your knowledge base accurately.
How do I monitor what the agent is doing at each step?
Standard and Premium packages include LangSmith observability, a full trace of every agent decision, tool call, LLM prompt, and response. You get complete visibility into agent behaviour, latency, and costs.
What if the agent makes a wrong decision or fails mid-task?
I design fallback and self-correction behaviour into every agent. When an agent is uncertain, it can escalate to a human, return a safe default, send an alert, or retry with a different strategy, depending on your requirements.
Do you work with n8n for workflow automation?
Yes, I have 6+ years of building agentic frameworks on n8n at Polar Bear Systems. I can build n8n workflows that incorporate LLM decision nodes, API calls, conditional logic, and data transformation.
