I will develop ai agents for defi, trading, and blockchain automation


Level 1
About this gig
I build autonomous Web3 AI agents that can reason, plan, and execute on-chain actions with minimal human intervention.
Using Python, Pydantic AI, Coinbase AgentKit, FastAPI, LangChain, and LangGraph, I create production-ready agents that interact with wallets, DeFi protocols, exchanges, and blockchain infrastructure through secure tool calling and structured workflows.
Services include:
- DeFi yield farming and portfolio automation
- Autonomous trading agents
- AI-powered wallet assistants
- Machine-to-machine crypto payment systems
- Staking, lending, and swapping automation
- Custom LLM tool integrations for Web3 applications
- Multi-agent systems and workflow orchestration
- REST APIs and backend infrastructure
Security is a core priority. High-value actions can be protected with approval workflows, transaction verification gates, persistent memory, and audit-friendly decision logs.
Whether you need an AI agent that manages DeFi strategies, executes blockchain operations, or powers a next-generation crypto application, I can build a solution tailored to your requirements.
Get to know Rakib Hossain
Web3 Dapps, Smart Contract, Solidity, Nodejs, Python
Level 1
- FromBangladesh
- Member sinceAug 2024
- Avg. response time1 hour
- Last delivery2 months
Languages
Bengali, English, Urdu, Hindi
My Portfolio
FAQ
Which blockchains do the agents support?
The setup natively supports all EVM-compatible networks including Base, Ethereum, Optimism, and Arbitrum. Additional chains can be integrated depending on your use case.
How are the agent's private keys protected?
Key management is handled through cryptographic enclave-based providers entirely separate from the agent reasoning layer. The agent parses and directs calls but never holds or exposes private keys directly. Spending limits are enforced at the wallet provider level.
When would you build a custom agent instead of using LangChain or LangGraph?
When the workflow is specialized enough that a framework adds overhead without benefit, or when the client needs full visibility into every decision path without abstraction layers. Custom-built agents are more auditable and easier to harden for security-critical applications.
Can I integrate this agent into an existing backend?
Yes. The FastAPI layer is designed to be modular. You can call specific agent endpoints from any existing service regardless of the stack.
