I will engineer custom ai agents and multi agent systems powered by langgraph crewai


Level 2
About this gig
Stop paying people to do what software can run on its own.
I build custom AI agents that research, use tools, call your APIs, and finish real tasks unattended, so repetitive work handles itself while your team focuses on judgment.
This is not a chatbot. It is autonomous workflow automation: an agent that plans, acts, checks its own output, and reports back, or a coordinated system of agents running a full process end to end.
What I can build for you:
- Single AI agents that own one task and run it reliably
- Multi-agent systems that split research, action, and review
- Agents with memory, tool use, and live API integrations
- Workflow automation across your CRM, email, docs, and databases
- Agents grounded in your own data with retrieval
My stack:
Python, LangGraph, CrewAI, LangChain, OpenAI and Claude APIs, vector databases, and cloud deployment.
As a Level 2 seller with 100+ completed projects, I ship dependable, production-ready agents, not fragile demos, with clean code and on-time delivery.
Tell me the process you want gone and I will design the AI automation that removes it.
Message me before purchasing the gig to confirm your requirements, timeline, and the best package for you
Get to know Azher A.
Full Stack AI Developer AI Agents, SaaS, RAG Chatbots and n8n Automation
Level 2
- FromPakistan
- Member sinceFeb 2015
- Avg. response time1 hour
- Last delivery3 months
Languages
English
My Portfolio
Other AI Development Services I Offer
FAQ
What kind of work can an AI agent take off my plate?
Multi-step tasks that follow rules but eat time: researching and summarizing, pulling and updating records, triaging requests, drafting and sending, moving data between systems. If a capable assistant could do it with instructions and access, an agent can run it on repeat.
How is this different from a chatbot or a Zapier automation?
A chatbot talks. A Zapier flow fires fixed steps. An agent decides: it reasons about the goal, picks the right tool, adapts when inputs vary, and checks its own result. That flexibility is the point, and it is why this is a build, not a template.
What's the difference between one agent and a multi-agent system?
A single agent handles one job well. A multi-agent system uses several specialized agents that coordinate for example, one researches, one writes, one checks the result. I build both, depending on how complex your workflow is.
Which frameworks and models do you use?
I build with LangGraph and CrewAI for agent orchestration, LangChain for tooling, and OpenAI or Claude as the underlying models. I'll recommend the best combination for your use case and budget.
Can it connect to my tools and take real actions?
Yes. Agents integrate with CRMs, databases, email, search, and custom APIs so they act, not just reply. Multi-integration work starts at the Connected tier.
Can it work from my own data?
Yes. I can add retrieval so the agent draws on your documents and knowledge base, included in the System tier and available as an add-on lower down.
Do I need my own OpenAI / Claude API account?
For most projects, yes you'll set up your own account so usage stays under your billing and you keep full control. It takes a few minutes and I'll guide you through it. I use my own keys for testing during development.
Will I own the code?
You receive full source code and complete ownership of your agent system. It's your product.
