AI Agent Engineer

Nuvnext; Región Centro; Hybrid; MXN 600,000 - 900,000; Full time

Job summary

Nuvnext in Guadalajara is seeking an Engineering professional to design, build and run agents that operate inside client environments, reading data, acting in systems and stopping for required human approval. This is an in-person, full-time role with production-ready delivery expectations.

You will build end-to-end agents on existing products, integrate diverse models, and decide what should be automated vs coded, ensuring reliability and alignment with client workflows.

Qualifications

• Built something with language models that others use.
• Read incomplete documentation and figure things out by testing and measuring.
• Explain why an agent is ready for production vs day-30 status.
• Write code that others can read and maintain.

Responsibilities

• Build end-to-end agents on production products (finance, sales, projects, prospecting).
• Integrate models from multiple providers and ensure predictable behavior in real scenarios.
• Decide what to automate vs what to code, and defend that decision.
• Connect agents to client systems (Google Workspace, WhatsApp, client tools, spreadsheets).

Skills

Language models

Reading incomplete docs

Agent orchestration

Readable code

Tools

Claude API

TypeScript

Next.js

Supabase / Postgres

Python

Claude Code

Webhooks & APIs

Job description

Engineering Guadalajara · in person Full time

You design, build and run agents that work inside our clients' operations: they read their information, act in their systems and stop wherever a person has to sign.

The role

• Build agents end to end on products already in production: finance, sales, projects and prospecting.
• Integrate models from different providers and make their behavior predictable in real cases, not in demos.
• Decide what is solved with an automation tool and what gets written in code, and defend the decision.
• Connect agents to what the client already uses: Google Workspace, WhatsApp, their usual systems, their spreadsheets.

Your first 90 days

• Day 30

  You learn the platform and the six agents already in operation. You ship your first improvement to production, with its test.

• Day 60

  You take ownership of a whole agent: its tools, its limits and its log.

• Day 90

  You take an agent into a client's operation and measure what changed in their process.

Stack and tools

Claude API TypeScript Next.js Supabase / Postgres Python Claude Code Webhooks and third-party APIs

And what our clients already use

What we look for

Must have

• You have built something with language models that another person uses, even if it is a side project.
• You work with incomplete documentation and get there by reading, testing and measuring.
• You can tell an agent that seems to work from one that still works on day 30.
• You write code someone else can read and maintain.

Nice to have

• Experience with RAG, semantic search or model evaluation.
• Having connected company systems to each other.
• Product judgment: you know when to say something should not be automated.

What working here is like

What you build goes into products that operate real organizations. You work directly with the founders, with no layers between your code and production, under the same rule we give the intelligence: a person signs what is critical.