Hire · AI Agent Developers
Hire AI Agent Developers Who Build Autonomous Systems
AI agents go beyond chatbots — they reason, plan, use tools, and act. WeiBlocks delivers engineers with production experience building autonomous multi-step AI systems for customer support, sales ops, research, and workflow automation.
Quick Answer
WeiBlocks provides AI agent developers with production experience building autonomous multi-step AI systems — agents that reason, plan, use tools, maintain memory, and execute multi-step workflows. We've built AI agents for customer support (60% ticket reduction guaranteed), AI Solana trading agents (100K+ volume on launch day), AI sales ops, document processing, and code generation. Engineers available via staff augmentation (3+ months) or project delivery.
Pricing: Starting at $110/hr · $18K/mo FTE
What AI Agent Developers Do at WeiBlocks
Agent Architecture
Multi-step planning, ReAct pattern, plan-execute, custom orchestration. Choosing the right architecture per use case.
Tool Use & Function Calling
Structured tool calling with Claude, OpenAI, and open-source models. Custom tool design, error handling, and tool composition.
Memory Systems
Short-term context management, long-term memory (vector DBs + structured stores), conversation memory, episodic memory patterns.
Multi-Agent Systems
Agent-to-agent communication, hierarchical agent topologies, role-based agent design.
Agent Evals
Trajectory evaluation, task-completion metrics, human-in-the-loop review, regression testing on agent workflows.
Production Hardening
Fallback strategies, retry logic, cost monitoring, latency optimization, observability with LangSmith/LangFuse.
Engagement Models
Staff Augmentation
Agent engineers embedded in your team for ongoing agent development. 3+ months minimum.
Project Delivery
Defined agent (e.g. customer support agent, sales ops agent) scoped, built, and shipped with full eval suite.
Agent Architecture Engagement
4–8 week engagement to design agent architecture, eval framework, and roadmap. Useful before a bigger build.
Tech Stack
The tools and libraries our AI agent developers use day-to-day in production engagements.
WeiBlocks vs. Typical Hiring Channels
| WeiBlocks | Typical Alternative | |
|---|---|---|
| Agent depth | Multi-step, tool use, memory — production | Single-prompt chatbots |
| Eval framework | Trajectory + task-completion evals | Manual spot-checks |
| Domain experience | Support, sales, trading, code-gen agents shipped | Demo agents only |
| Production hardening | Fallbacks, retries, observability | Often breaks at edge cases |
| Multi-agent systems | Production multi-agent experience | Single-agent focus |
| AI + Web3 agents | Agents acting on Solana, smart contracts | Web2-only |
Our Process
- 01
Discover & Strategise
Define business goals, tech requirements, budget & timeline.
- 02
Design & Prototype
Wireframes, smart contract logic, system architecture & technical specs.
- 03
Build & Deploy
Full-stack development, smart contracts, AI integration & testnet launch.
- 04
Scale & Secure
QA testing, security audits, mainnet deployment & ongoing support.
Frequently Asked Questions
What's the difference between an AI agent and a chatbot?
Chatbots answer one question at a time. AI agents plan multi-step workflows, use tools (APIs, search, code execution), maintain memory across turns, and execute actions in the world. Agents can complete complex tasks autonomously — chatbots can't.
What agent frameworks do you use?
Claude Agent SDK and LangGraph for most production agents. LangChain for simpler orchestration. AutoGen and CrewAI for multi-agent topologies when justified. We pick the right framework per use case — often custom orchestration when frameworks add overhead.
How do you handle agent reliability?
Eval harnesses for trajectories + task completion, fallback strategies for tool failures, retry logic for transient errors, cost monitoring, and observability via LangSmith / LangFuse. Production agents need this — demos don't.
Can you build agents that interact with smart contracts?
Yes — agents that read on-chain data, sign transactions (with appropriate guardrails), execute trades, manage DeFi positions, and operate NFT marketplaces. AI + Web3 is a competitive edge for us.
What does an AI agent project cost?
Staff aug: $110–$200/hr or $18K–$32K/month FTE. Custom agent project: $25K–$120K depending on complexity. Multi-agent enterprise systems: $80K+. Architecture engagements (no build): $8K–$20K.
Related Service
Want the full project-delivery story (not staff augmentation)? See our ai agent developers service page.
Hire AI Agent Developers via WeiBlocks
Free 30-min strategy call. Tell us what you're building and the timeline — we'll match you with the right engineer in under a week.