I will build a production ready rag or llm agent system in python


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I build production AI systems end-to-end not demos, not notebooks, working products you can deploy.
What I can build for you:
- RAG systems document Q&A, knowledge bases, and custom search over your data using Pinecone or similar vector databases.
- AI agents autonomous workflows that reason, use tools, and complete multi-step tasks with LangGraph or custom orchestration.
- LLM-integrated APIs FastAPI or Node.js backends wrapping Claude, GPT, or Gemini for your specific use case.
- Full-stack AI features backend plus React or Next.js frontend, deployed and ready to use.
Why work with me:
I currently build production AI systems for clients across legal tech, media, and SaaS. Recent work includes an AI litigation platform orchestrating 40+ LLM agents and a legal document analysis tool using Agentic RAG. I do this daily.
My stack: Python (FastAPI), TypeScript (React, Next.js), Pinecone, the Claude/OpenAI/Gemini APIs, PostgreSQL, MongoDB, Redis, AWS, GCP.
Before you order: message me first with your use case, expected scale, and whether you have existing code. I'll give you a realistic scope, timeline, and price before you commit.
Conoce a Zain Asher
AI Engineer building production LLM agents and RAG systems
- DePakistán
- Miembro desdejun 2020
- Última entrega1 año
Idiomas
Inglés, Urdu
FAQ
Do I need to provide my own API keys (OpenAI, Anthropic, etc.)?
Yes. You'll provide your own API keys for whichever LLM provider we use. I can recommend the best fit for your use case during our initial conversation.
Can you work with my existing codebase?
Yes. I regularly integrate AI features into existing FastAPI, Django, Flask, Node.js, and React/Next.js applications. Just share your repo (or a code sample) when you message me and I'll let you know what's feasible.
What if my project is bigger than the Premium package?
Message me before ordering and I'll quote a custom price with milestones. I'd rather scope honestly upfront than under-deliver on a fixed package.
Do you provide hosting or deployment?
I'll deploy to your cloud account (AWS, GCP, Vercel, Railway, Render, etc.) and hand over a working system with documentation. Hosting costs are paid by you directly to the provider — I don't mark up infrastructure.
What turnaround can I expect for revisions?
Most revision requests are handled within 24–48 hours. For complex changes that go beyond the original scope, I'll let you know upfront and we can decide whether to extend the package or scope it as additional work.
