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I will develop a multi agent ai system with langchain and openai
Mustaqeez Ahmad
Acerca de este Servicio
Production-ready multi agent AI systems built with LangChain, OpenAI, CrewAI, and RAG.
I develop custom AI agents to automate business workflows, customer support, and internal operations. You get a scalable multi-agent architecture with tool integrations, data retrieval, deployment, logging, output validation, and documentation. Each system is designed for reliability, maintainability, and future scaling.
What you get:
- Custom multi agent AI system tailored to your use case
- Built with LangChain, OpenAI (GPT-4/GPT-4o/o1), LangGraph, CrewAI
- RAG over your data (Postgres + pgvector, Pinecone, Weaviate)
- Tool integrations (CRM, email, calendar, APIs)
- Security guardrails (input/output validation, tool access control)
- Deployment to your infrastructure (Vercel, AWS, Railway, VPS)
- Source code + documentation (you own everything)
Why me:
- 10+ years software engineering experience
- Built ConciergeAI (hotel voice agent now live in production)
- Production AI systems builder
- Cybersecurity-focused development
- 5.0 rating, 40+ completed orders
Message me on Fiverr Before Ordering with your use case, data sources, tools, users, deployment target, and budget. I'll recommend the right architecture or
Conoce a Mustaqeez Ahmad
Mustaqeez Ahmad
I'm an expert in generative AI mobile app and web SaaS development
- DePakistán
- Miembro desdejun 2016
- Última entrega1 año
Idiomas
Urdu, Inglés
I have a Masters's degree in Computer Science and 10 years plus experience in development. I'm CEO at Software & Technology Company "CodeDeskStudio" and managing a small team. We specialize in AI SaaS development.
As a team, we have good UI UX design skills to make top-level apps UI.
Mi porfolio
FAQ
Q: What is a multi-agent AI system vs a chatbot?
A chatbot has one AI answering queries. A multi-agent system uses multiple specialized agents that collaborate – each can call tools, retrieve data, and chain tasks. Built with LangChain and OpenAI, multi-agent architectures can handle complex, multi-step workflows that a single agent can’t.
Q: Why use LangChain and OpenAI?
LangChain is a proven framework for agents with memory, tools, and retrieval. OpenAI’s GPT-4 (and o1) models provide the most advanced reasoning and reliability for agents. Together they form an industry-standard stack for production AI agents.
Q: Why add “security guardrails”?
If your agents call tools (CRM, email, APIs), malicious input can cause data leaks or unwanted actions. I add input validation, limit tool permissions, filter outputs, and log actions to prevent prompt injection or unauthorized access. This protects your data and users.
Q: What is RAG and do I need it?
RAG (Retrieval-Augmented Generation) means the agents search your own documents or knowledge base before answering. If your AI needs to know about private or up-to-date info (docs, support tickets, etc.), you need RAG. Most business AI systems benefit from RAG.
Q: Will my data be safe?
Yes. Your data stays on your side. I deploy to your account (Vercel, AWS, Railway, etc.). I’m happy to sign your NDA. After delivery, all your test data is deleted.
Q: Can you integrate with [my tool]?
Almost certainly. I’ve integrated with HubSpot, Salesforce, Slack, Discord, WhatsApp, Gmail, Calendly, Stripe, Shopify, Notion, Airtable, custom APIs/webhooks, and more. Just list your tools.
Q: Can I use other agent frameworks besides LangChain?
Yes. I also work with CrewAI, LangGraph, AutoGen, OpenAI Assistants API, n8n, VAPI (voice), or custom FastAPI agents. Tell me your preference or I can recommend the best fit.
Q: Do I own the code?
Absolutely – you receive the full source code and docs, with unlimited usage rights. You can modify and extend the system freely after delivery.
