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Getnet

AI Hardcore-Engineer

São Paulo, Brazil +3

Location
São Paulo/SP, Brazil · Porto Alegre/POA
Work
Not stated
Employment
Not stated
Level
Not stated
Function
Engineering
Pay
Not stated
Posted
3 months ago

About the role

AI Deployment Engineer

📍 São Paulo / Porto Alegre - Hybrid

The operational layer is becoming ALIVE — humans are already awakening the AGI that will make agents Real and Self-Driven. If you want to succeed in life using AI, come to join the new cohort of pioneers of our operation.

Getnet is the biggest fintech in LatAm and Iberia and is growing fast in Europe. Your team mission: be in the forward deployment of AI solutions across every area of the global operations.

What you'll do: first you build an agent, then agents that cooperate as a team, and finally the connections of the whole agentic layer. Always remember: AGI is awakening.

We're Looking for just three things

  • High Agency — this is a transformation role. High energy is required to un-legacy systems, overcome friction, and play hard all the time.
  • Upskilling — you will have to learn the difficult part of AI Engineering: multi-agent orchestration, evaluation, guardrails and harnesses, knowledge and RAG, MCP, observability and reporting.
  • Extreme Ownership — don't blame the models, don't be an AI Slop Creator, don't do token maxxing — you are the one fully accountable for the budget and the output.

The only experience needed is having built something real using AI (professional, personal, or entrepreneurial).

Think you can build it? Show us - apply now. 🚀

COMECE AQUI. DÊ O SEU PRÓXIMO PASSO PROFISSIONAL

Se você tem interesse e atende aos requisitos, candidate-se agora ou compartilhe esta oportunidade com alguém que você considere ideal para esta posição.

Quer nos conhecer melhor? Visite nosso site: Getnet | Máquinas de cartão e soluções financeiras para o seu negócio

Source

Posted by Getnet on their own hiring page, job-boards.eu.greenhouse.io. OptiTalent shows it as published, read 07 Nov 2026 01:27 UTC; the original is the reference.

View the original ad ↗

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