AI Engineer, Agentic Core

What you will do

• Build multi-agent orchestration — supervisor patterns, expert sub-agents, routing and state.
• Make agents reliable at hundreds of thousands of conversations across 19 countries.
• Push on evaluation: knowing whether an agent got better is central to how we ship.
• Design the seams between the framework and client work, so shared patterns graduate into Core.
• Shape model and provider strategy. We use several and we swap them.

What makes this hard

• Agents act, not just answer. The system has to know when to act, when to ask, and when to stop.
• A non-deterministic stack. Traces, evals, guardrails and fallbacks — small changes create surprising behaviour.
• Reusable, not one-off. Client learnings have to become shared capabilities, not a pile of hacks.
• Scale exposes weak architecture. Brittle state or slow tools get expensive fast at this volume.

What we are looking for

• 3+ years shipping production software, with serious LLM work in the recent part of it.
• Strong Python or TypeScript.
• You have built agentic systems — tool-calling, multi-step workflows, autonomous decisions. Not a RAG demo.
• You have operated a non-deterministic system in production and have opinions on debugging one.
• Spanish fluency. You will write prompts and evaluations in Spanish.
• Comfortable in ambiguity. No specs, just problems.

Nice to have

• Evaluation frameworks — LangSmith or anything else.
• Voice agents, telephony, latency work.
• WhatsApp Business API or messaging platforms at scale.
• Multi-tenant thinking: something other engineers configure rather than fork.

The process

1. 0130 minutes with our CTO
2. 02Technical interview
3. 03Offer