I will build ai agents, multi agent systems, rag, mcp with langchain and llms


About this gig
Tired of struggling with AI agents that give inaccurate answers, lose context, or can't take real action on your data? You're in the right place!
I'm a Senior Agentic AI Engineer specializing in AI agent development, multi-agent systems, agentic RAG, LangChain, MCP servers, tool calling, and LLM integration on OpenAI, Claude, and Gemini.
I've built production-ready AI agents that reason, retrieve, and execute business tasks end-to-end, fast, secure, and scalable.
Services I Offer:
- Custom AI Agent Development (LangChain, GPT, Claude)
- Multi-Agent Systems (LangGraph, CrewAI, AutoGen)
- Agentic RAG Systems (LlamaIndex, Pinecone, Chroma)
- MCP Server Development (Claude, Cursor, GPT), Vector Database, Search
- Custom GPTs, OpenAI Assistant API, LLM Integration
- AI Chatbot Development (Streamlit, Next.js, FastAPI)
- AI Web App/SaaS with Agents (Full-Stack)
- LLM Fine-Tuning (Custom Models/LoRA)
- Production Deployment (FastAPI, Docker, AWS)
Use Cases:
- Customer Support & Service Agents
- Sales, Lead Qualification & Outreach Agents
- Internal Knowledge, HR & Employee Assistants
- Research, Data Analysis & Workflow Automation Agents
Send me your workflow, I'll map out where AI agents can automate it
Get to know Mudassar R
Senior Agentic AI and Automation Engineer, LangChain, RAG, MCP, Python
- FromPakistan
- Member sinceJan 2022
- Avg. response time1 hour
Languages
English, German, French
My Portfolio
FAQ
Which frameworks do you use for AI agents?
I primarily use LangChain and LangGraph for tool-calling and stateful agents, CrewAI and AutoGen for multi-agent collaboration, and LlamaIndex for advanced RAG. The choice depends on which architecture fits your problem best.
Can the agent connect to my APIs, database, or CRM?
Yes. I integrate with HubSpot, Salesforce, Airtable, Notion, MongoDB, PostgreSQL, MySQL, REST APIs, GraphQL, webhooks, Zapier, n8n, and Make. If your tool has an API, I can integrate it.
Which LLMs and models do you support?
OpenAI (GPT-4o, GPT-4.1), Anthropic Claude, Google Gemini, and open-source models like Llama, Mistral, and DeepSeek via Ollama for on-prem or private deployments
How do you handle hallucinations and prompt safety?
Production agents need guardrails. I implement RAG grounding, output validation, prompt-injection defenses, evaluations, and observability with LangSmith or LangFuse so failures are caught fast.
Can the agent run locally or on-prem for data privacy?
Yes. For sensitive data I deploy agents with Ollama and open-source LLMs on your own server, VPS, or local machine. No data leaves your infrastructure.
Do I get source code and documentation?
Yes. Standard and Premium packages include full Python source code, README, architecture notes, and setup instructions. You own the code with a usage license.
Do you offer post-delivery support?
Yes. I include post-launch bug-fix support and help you deploy on FastAPI, Docker, AWS, or your cloud. Extended maintenance is available as a custom add-on.
