I will build your ai agent with langchain langgraph and rag


About this gig
Need an AI agent that actually does the work, not just chats? I design and build production multi-agent systems using LangChain and LangGraph, the same frameworks I use on contract work embedded with teams at Apple, Microsoft, and Anthropic (via Turing).
What I build:
- Single or multi-agent systems with a Supervisor routing pattern
- Tool calling, function calling, and live API integrations
- RAG pipelines connected to your documents, database, or knowledge base
- A FastAPI backend so your agent runs as a real service, not a notebook
- Clear documentation so your team can maintain it after delivery
- Workflow automation and agentic integrations with Zapier, Make, and n8n
I have 6+ years as a backend and full-stack engineer, plus hands-on AI work including LLM red-teaming and RL environment engineering for frontier AI labs. I don't just wrap an API call. I think about failure modes, latency, and what happens when a user does something the demo didn't expect.
Message me your use case and current stack before ordering so I can scope it accurately. Let's build something that holds up.
Get to know Sajjad Sindhu
Full Stack Engineer AI Agents Automation Shopify Apps
- FromPakistan
- Member sinceSep 2018
- Avg. response time1 hour
- Last delivery3 years
Languages
Urdu, English
Other Software Development Services I Offer
FAQ
What do I need to provide before we start?
Your use case, the tools or data sources the agent needs to access, and API keys for whichever LLM provider you want to use.
Which LLM providers do you support?
OpenAI GPT-4, Anthropic Claude, and most providers compatible with LangChain.
Will I own the code?
Yes — full source code and documentation are yours after final delivery.
Do you offer support after delivery?
The Premium package includes 30 days of support. For Basic/Standard, ongoing support can be added as a paid extra.
Can you connect this to my existing app or database?
Yes, via REST APIs, webhooks, or a direct database connection — mention your stack in the order requirements so I can scope it correctly.

