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2 дня назад

Senior AI Engineer (Python)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Uruguay
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior AI Engineer (Python): Productionizing advanced AI solutions for enterprise clients with an accent on RAG pipelines, agentic workflows, and cloud-native deployment. Focus on transforming early-stage prototypes into secure, scalable, and reliable production-ready systems using Microsoft Azure.

Location: Montevideo, Uruguay (Hybrid)

Company

hirify.global is a premier AI services provider dedicated to unlocking value and fostering innovation by aligning human expertise with data-driven AI strategies.

What you will do

  • Lead the end-to-end production implementation of AI prototypes and pilot solutions.
  • Design, build, and maintain scalable AI applications using Python.
  • Develop and optimize RAG pipelines for document retrieval and contextual response generation.
  • Build and manage agentic workflows, including multi-step autonomous agents and orchestration frameworks.
  • Deploy and operationalize AI services in cloud-native environments on Microsoft Azure.
  • Collaborate with cross-functional teams to align technical implementation with business objectives.

Requirements

  • 5+ years of software engineering experience with significant focus on AI/ML and generative AI.
  • Advanced English proficiency required.
  • Strong proficiency in Python and modern backend development practices.
  • Proven experience implementing RAG architectures and agentic AI workflows in production.
  • Hands-on experience with Microsoft Azure cloud services and deployment.
  • Ability to work across backend services and front-end integration layers.

Nice to have

  • Experience with containerization and orchestration (Docker, Kubernetes).
  • Familiarity with vector databases, embeddings, and semantic search.
  • Knowledge of enterprise security and governance for AI systems.
  • Experience in consulting or delivery-center models.

Culture & Benefits

  • Access to extensive learning paths, Udemy Business, and professional certifications (AWS, Databricks, Snowflake).
  • Career development plans and mentorship programs.
  • Flexible working options to support work-life balance.
  • Travel opportunities for industry conferences and client meetings.
  • Company-provided equipment and special day rewards for milestones.

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