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21 день назад

Senior Staff AI Engineer (Generative AI)

Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Mexico
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 Staff AI Engineer (Generative AI): Leading the design, development, and delivery of AI solutions using Machine Learning and Generative AI with an accent on production-grade AI/ML systems and agentic AI patterns. Focus on building RAG pipelines, prompt engineering, and overseeing high-quality engineering practices through code reviews and technical leadership.

Location: Mexico City, Mexico (Service Region: Mexico)

Company

A global Digital Product Engineering company with over 18,000 experts across 36 countries, specializing in scalable digital products and services.

What you will do

  • Design and build scalable AI/ML solutions using Deep Learning and Large Language Models (LLMs).
  • Lead code reviews and enforce engineering best practices to ensure system maintainability and performance.
  • Implement Generative AI use cases, including RAG pipelines, prompt engineering, and agentic workflows.
  • Deliver AI solutions across various business domains including marketing, supply chain, and retail.
  • Mentor junior team members and provide technical guidance on solution architecture.
  • Collaborate with Data Engineers and DevOps to integrate AI models into production systems.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
  • 8–9.5 years of experience in AI/ML development and delivery.
  • Proven experience in building and deploying production-grade AI/ML solutions.
  • Expert proficiency in Python and SQL.
  • Strong expertise in Machine Learning, Deep Learning, and statistical modeling.
  • Hands-on experience with LLMs (GPT, Claude, Llama, Gemini) and Vector Databases.

Nice to have

  • Exposure to agentic frameworks such as LangGraph, CrewAI, or AutoGen.
  • Experience with GCP (preferred) or other major cloud platforms.
  • Familiarity with MLOps tools like MLflow or Vertex AI.

Culture & Benefits

  • Dynamic and non-hierarchical work culture.
  • Opportunity to work within a rapidly scaling digital engineering environment.
  • Access to a massive global network of technical experts.

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