Only for Engineers Who Have Actually Built and Deployed AI Agents
We are looking for a hands-on AI Agent Engineer who has already built and launched working autonomous agents in real environments.
English Required
This is not a prompt engineering role.
This is not experimentation or hobby work.
If you haven’t deployed agents that interact with APIs, tools, or workflows in production, this will not be a fit.
What You’ll Be Building
You’ll design and deploy autonomous AI agents that can:
- Execute multi-step workflows
- Interact with APIs and external tools
- Make decisions based on inputs and context
- Trigger actions across systems (CRM, messaging, internal tools, etc.)
These agents will be used in real business operations, not prototypes.
Core Stack (Must Have Experience)
- Strong experience using Claude Code (not just chat interface)
- Experience building with Mastra or similar agent frameworks
- Comfortable integrating APIs, webhooks, and external services
- Experience with automation tools like n8n or Make:
- Ability to connect agents to databases, CRMs,
and third-party systems
What You’ll Actually Do
- Architect and build autonomous agents from scratch
- Define agent logic, memory, and tool usage
- Integrate APIs and external systems via webhooks
- Debug and optimize agent performance in real-world use
- Work fast, iterate quickly, and deploy working systems
What We’re Looking For
- Proven experience building real, deployed AI agents (not tutorials)
- Strong understanding of LLM behavior, limitations, and orchestration
- Ability to think in systems, not just code snippets
- High ownership. You can take a concept and turn it into a working product
- Comfortable working without rigid specs
Bonus (Not Required, But Valuable)
- Experience with headless tools / no-code builders (e.g. Webflow, Retool, or similar)
- Background in backend development (Node, Python, etc.)
- Experience designing internal tools or automation systems
Not a Fit If
- You’ve only
📌 Ai Agent Engineer (México)
🏢 DCMMG
📍 México