GenAI & Gemini Enterprise Cloud AI Engineer

Koin Limited

Partido de Quilmes

Presencial

ARS 181.094.000 - 271.641.000

Jornada completa

Hace 4 días
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Descripción de la vacante

Koin Limited in LATAM is seeking a Cloud AI Engineer focused on Google Cloud to design and implement GenAI solutions for enterprise clients across Argentina and Mexico. You will work with TensorFlow, Vertex AI, DataFlow and collaborate with product teams.

The role requires a solid foundation in cloud architecture, Python, and deploying production GenAI apps, with responsibilities to lead deployments, advise customers, and present technical findings to executives.

Formación

  • Bachelor's degree in Computer Science or related field.
  • 3 years of software engineering, cloud architecture, or technical consulting.
  • 2 years deploying production GenAI applications.
  • Experience building and orchestrating agents using ADKs or frameworks (LangChain, LlamaIndex, AutoGen).
  • Experience in Python and cloud computing principles (serverless, virtualization, secure networking).

Responsabilidades

  • Lead the delivery, deployment, and implementation of Gemini Enterprise solutions.
  • Act as a trusted technical advisor to Google's strategic customers to shape AI strategy.
  • Provide architectural guidance and architect scalable workarounds for edge cases.
  • Deliver technical presentations to stakeholders, driving Gemini Enterprise adoption.

Conocimientos

GenAI deployments
Python
Cloud architecture
ADK/LangChain
Technical consulting

Educación

Bachelor's degree in Computer Science or related field
Master's degree in CS/AI related field

Herramientas

LangChain
LlamaIndex
AutoGen
ADKs

Descripción del empleo

Koin Limited in LATAM is seeking a Cloud AI Engineer focused on Google Cloud to design and implement GenAI solutions for enterprise clients across Argentina and Mexico. You will work with TensorFlow, Vertex AI, DataFlow and collaborate with product teams.

The role requires a solid foundation in cloud architecture, Python, and deploying production GenAI apps, with responsibilities to lead deployments, advise customers, and present technical findings to executives.

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