I will build autonomous ai agent swarms or multi agent workflows


About this gig
Are you tired of micromanaging single AI prompts that forget context?
In 2026, single LLM interactions are obsolete for complex business logic. Real efficiency comes from Autonomous AI Swarms teams of specialized agents that collaborate, critique, and execute tasks without your constant supervision.
I am an expert AI Engineer specializing in CrewAI, Agno, and LangGraph. I don't just connect APIs; I architect state-aware multi-agent systems capable of handling long-running processes, maintaining memory across sessions, and executing complex workflows autonomously.
What You Get (Benefits, not just features):
- True Autonomy:** Agents that plan, execute, and self-correct errors using advanced "Human-in-the-loop" logic only when strictly necessary.
- Persistent State Management:** Unlike basic bots, my workflows (built on LangGraph) maintain context for days or weeks, ensuring long-term project consistency.
- Scalable Architecture:** Modular systems designed to grow. Start with a 2-agent pilot and scale to a 50-agent corporate swarm.
- Tool & API Integration:** My agents interact with your stack (SQL, Slack, HubSpot, Notion) and browse the web for real
Contact me today for more details
Get to know Julio Martinez
Full Stack Developer
- FromVenezuela
- Member sinceApr 2017
- Last delivery1 year
Languages
Spanish, English
Other AI Development Services I Offer
FAQ
Do I need to pay for the LLM API costs (OpenAI/Anthropic/Other)?
Yes. You will provide your own API keys. I build the architecture, but the "fuel" (tokens) is paid directly to the providers. I can help you estimate monthly costs based on your specific use case.
Can these agents run locally to protect my data?
Absolutely. I can configure the swarm to use **Ollama** or **LM Studio** with local models (Llama 3, Mistral). This ensures 100% data privacy, though it requires dedicated hardware (GPU).
What is "State Management" and why does it matter?
Most AI bots "reset" after every message. State Management (via LangGraph) ensures your agents "remember" the status of a project (e.g., a 3-day market research task) and can resume exactly where they left off without losing data.
Can you integrate this with my existing software?
Yes. I build custom tools that allow the agents to read/write to platforms like Salesforce, Google Workspace, Slack, or any custom API you use.
How do you prevent the AI from making mistakes?
I implement Self-Correction Loops. A "Manager" or "Critic" agent reviews the output of others. For critical tasks (e.g., sending an invoice), I add a "Human-in-the-loop" node that pauses the workflow until you give manual approval.
