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I will build production ai agents with langgraph and langchain
Taimoor K
About this gig
Need an AI agent that actually gets things done not another chatbot? I build production AI agents with LangGraph and LangChain: systems that reason, call tools, pull your own data, and run multi-step workflows with minimal hand-holding.
I work natively in TypeScript/Node.js (Python available too), so your agent fits the stack you already run no bolted-on service to maintain. My background includes multi-agent systems built for real SaaS products across healthcare, education, and operations, so I build for production from day one: data integrity, error handling, and cost control not just a demo that breaks on the second query.
Every build includes:
- A working agent (or multi-agent system) scoped to your use case
- Tool calling, API/database integration, and RAG where it's needed
- Full source code with clear documentation
- Deployment support Docker, Railway, Vercel, or self-hosted
- The packages below cover the most common builds, from one focused agent to a full multi-agent production system. Bigger scope, a different stack, or something in between? Message me before ordering I'll scope it properly and send a custom offer.
Get to know Taimoor K
Taimoor K
AI Agent, SaaS Engineer, Production Systems, Not Just Demos
- FromPakistan
- Member sinceOct 2023
- Avg. response time1 hour
- Last delivery1 year
Languages
English, Urdu
I build production AI systems and business software — from multi-agent AI with LangGraph, LangChain, and RAG, to full ERP and school management platforms. 9+ years of full-stack development, shipping fast, secure, and built to scale. Cloud-based or self-hosted, I handle the architecture, the integrations, and the long-term support — so you get a system that actually runs your operations, not just a demo. Tell me what you're building and let's scope it right.
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Other AI Development Services I Offer
FAQ
1. What is the difference between the Basic, Standard, and Premium packages?
Starter is one focused agent for a single task. Growth adds memory, RAG over your own data, and multiple integrations. Production is a full multi-agent system with orchestration and deployment support. If none of the three match what you need, see the next question.
2. What if my project does not fit any of the three packages?
Most real AI agent projects don't fit neatly into 3 fixed boxes, thats normal, not a problem. Message me with what you're trying to build and I'll scope it properly and send a custom offer with the right price and timeline.
3. What types of AI agents can you build?
Customer support agents, sales and lead-qualification agents, research agents, healthcare AI assistants, school and education agents, HR and recruitment agents, finance and accounting agents, and more.
4. What is the difference between an AI chatbot and an AI agent?
A chatbot responds to messages. An agent reasons, uses tools, retrieves data, calls APIs, executes multi-step workflows, remembers context, and automates a process with minimal human input.
5. Which AI models do you support?
OpenAI GPT, Google Gemini, Anthropic Claude, DeepSeek, Ollama, and self-hosted open-source LLMs.
6. Do I need to provide API keys, and who pays for usage costs?
Yes, you will need your own API key for whichever LLM provider you choose. I don't mark up usage costs; you pay the provider directly, so you always know exactly what you are spending. Happy to advise on provider/budget choice during scoping if you are not sure.
7. Can the AI agent connect to my existing systems?
Yes, databases, REST and GraphQL APIs, CRMs, ERPs, payment systems, email providers, cloud storage, and most third-party services.
8. Can the AI agent work with my business documents?
Yes, via Retrieval-Augmented Generation (RAG) — your agent can search and answer from PDFs, spreadsheets, knowledge bases, websites, or internal docs.
9. Can you build self-hosted AI agents?
Yes, cloud-based or fully self-hosted using Ollama or other open-source LLMs, for teams that need privacy, lower inference cost, or on-premises deployment.
10. Which technologies do you use?
LangGraph, LangChain, OpenAI, Gemini, Claude, TypeScript/Node.js primary, Python available, Supabase, PostgreSQL, vector databases, and MCP. I pick the right tools for your project rather than forcing one stack.
