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I will build custom ai agents and multi agent systems using langchain
Bilal Nasir
Level 1
About this gig
Custom AI Agents & Multi Agent Systems in LangChain
Are you looking to automate complex business operations using production grade LangChain architectures?
I build autonomous multi agent systems and robust AI agents designed to execute multi-step workflows with precision. Using LangChain and stateful graph orchestration, I create tailored custom AI solutions from specialized multi agent systems for market research to autonomous AI agents for data pipelines bringing enterprise reliability to your LangChain codebase.
Gig Offerings:
- LangChain Architecture: Production setup of components, tool bindings & output parsers.
- Multi Agent Systems: Collaborative agent setups with supervisor routing & parallel tasks.
- AI Agents: Goal oriented agents with web search, API calling & DB access.
- Memory & Storage: Persistent state using vector databases.
- Integration & Fixes: Custom AI backend integration, debugging & workflow optimization.
Tools and Technologies:
- LangChain
- LangGraph
- LangSmith
- Python
- FastAPI
- Docker
- Pinecone
- Qdrant
- OpenAI
- Claude
- Llama 3.
Client satisfaction is my top priority. I offer revisions to ensure your system works as intended.
Get to know Bilal Nasir
Bilal Nasir
Software Developer and Machine Learning Specialist
Level 1
- FromPakistan
- Member sinceApr 2021
- Avg. response time1 hour
- Last delivery1 month
Languages
Urdu, English
I am Bilal Nasir, a Software Engineer and graduate of UET Taxila, one of Pakistan's top-ranked engineering universities.
I am an expert in software development, SaaS solutions, system integrations, and AI/ML model deployment. With a strong foundation in programming and software engineering, I specialize in building robust and scalable applications that seamlessly integrate machine learning models and automation solutions. My expertise spans data science, algorithm
development, and software architecture, enabling me to create intelligent, data-driven systems.
FAQ
What is the difference between single AI agents and multi agent systems?
Single agents handle simple tasks fine, but complex workflows cause loops. Multi-agent systems solve this by splitting work into specialized roles researcher, coder, reviewer collaborating via LangChain and LangGraph for total accuracy.
Will my multi agent systems work with my existing tech stack and databases?
Yes, your custom AI can integrate into existing backends, SQL databases, REST APIs, or frontends. I also deploy your LangChain AI agents with FastAPI and Docker so they run seamlessly on AWS, GCP, Azure, or any cloud platform.
What happens if the AI agent hallucinates or executes an incorrect action?
I build strict guardrails using LangGraph: structured output validation, hard exit rules, error-handling routines, and optional human-in-the-loop approval steps before critical tools execute.
Can you connect these LangChain agents to my private CRM, custom API, or internal database?
Yes. I build custom LangChain tool bindings to safely connect your AI agents to any REST API, PostgreSQL database, CRM, webhook, or internal backend logic.
How do I host and deploy the finished system after you hand it over?
I package your system into a FastAPI backend inside a Docker container. You can host it 24/7 on AWS, GCP, Railway, or Render, and I provide full setup instructions.
