I will build autonomous agentic ai systems with langchain, langgraph and python


About this gig
Chatbots are dead. The future is Autonomous Agents.
Most devs build simple wrappers. I engineer Agentic AI Systems that reason, plan, and execute complex workflows to run your business logic.
I am a Senior Python Engineer specializing in LangChain, LangGraph, and LLM Orchestration.
I build systems where AI does, not just talks.
What I Build:
- RAG Systems: "Chat with Data" engines (Pinecone/ChromaDB) that don't hallucinate.
- Autonomous Agents: AI that browses the web, scrapes data, & updates CRMs.
- Multi-Agent Swarms: LangGraph teams (e.g., Researcher + Writer agents).
- SaaS Backends: Scalable FastAPI/Django APIs for your users.
️ Tech Stack:
- Frameworks: LangChain, LangGraph, CrewAI.
- LLMs: GPT-4o, Claude 3.5 Sonnet, Llama 3 (Ollama).
- Deploy: Docker, AWS, GCP.
Why Me?
Reliable agents are hard. I implement Memory Management, Guardrails, and Latency Optimization so your AI never goes rogue or gets stuck in loops.
Ready to build the next Unicorn?
Message me before ordering to validate your architecture!
Get to know Muhammad K
I will automate your business logic using AI agents
- FromPakistan
- Member sinceFeb 2026
Languages
English
My Portfolio
FAQ
What is the difference between a Chatbot and an Agent?
A chatbot answers questions. An AI Agent takes action. An agent can search the web, write files, send emails, and make decisions based on goals I program into it using LangChain.
Do I have to pay for OpenAI/LLM costs?
Yes. You will need your own API keys (OpenAI, Anthropic, etc.). I build the engine; you pay for the fuel. This ensures you own the account and the data privacy.
Can you build a SaaS MVP?
Yes. The Premium Package includes the backend architecture needed for a SaaS. I can build the FastAPI backend and integrate it with your frontend.
Is my data private?
Absolutely. I use industry-standard security practices. For sensitive data, we can use local LLMs (like Llama 3) so your data never leaves your server.
