Generative AI Software Engineer - Production Systems

Azumo; Buenos Aires; Presencial; ARS 90.780.000 - 181.560.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

PTO

US Holidays

Training

Udemy free Premium access

Mentored career development

Profit Sharing

$US Remuneration

Descripción de la vacante

Azumo is seeking an AI Software Engineer to join our team of AI developers. You will design and deliver production-grade Generative AI solutions, collaborate across SaaS, cloud, and data environments, and contribute to innovations in LLMs and automation.

The role emphasizes hands-on development, model fine-tuning, and secure cloud deployment while adhering to Responsible AI practices and compliance standards.

Formación

• Bachelor's degree in CS/Data Science or related field; Master’s is a plus.

Responsabilidades

• Research, design, and build production-grade Generative AI and automation solutions using LLMs, RAG pipelines, and vector databases.
• Lead full-cycle development: data prep, model fine-tuning, evaluation, optimization, containerization, and secure cloud deployment (Azure/AWS).
• Implement MLOps/LLMOps pipelines for automated testing, monitoring, and rollback.
• Apply Responsible AI practices and compliance standards (e.g., NIST RMF, FedRAMP).
• Translate business requirements into technical designs; prototype and iterate quickly with stakeholders.
• Contribute to Azumo's innovation roadmap by identifying research topics, publishing insights, and advancing our AI software development services portfolio.

Conocimientos

Python

CI/CD

Git

Containers

DevOps

Communication

Educación

Bachelor's Degree in Computer Science or related field

Herramientas

PyTorch

TensorFlow

LangChain

LangGraph

Vector databases

Pinecone

FAISS

Azure AI Search

AWS

Terraform

Bicep

Docker

Kubernetes

GitHub Actions

Descripción del empleo

Azumo is seeking an AI Software Engineer to join our team of AI developers. You will design and deliver production-grade Generative AI solutions, collaborate across SaaS, cloud, and data environments, and contribute to innovations in LLMs and automation.

The role emphasizes hands-on development, model fine-tuning, and secure cloud deployment while adhering to Responsible AI practices and compliance standards.