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5 дней назад

Lead Data Engineer (AI)

Формат работы
remote (только Latam)
Тип работы
fulltime
Грейд
lead
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Lead Data Engineer (AI): Architecting and building scalable data infrastructure for real-time insights, predictive systems, and generative AI applications with an accent on low-latency backends, event-driven pipelines, vector systems, and retrieval-augmented generation. Focus on transforming static data lakes and warehouses into active context layers, designing production-grade data APIs, and establishing engineering standards for agentic AI workflows.

Location: Remote, based in Latin America

Company

hirify.global provides nearshore staff augmentation and technology solutions, connecting Latin American technology professionals with U.S. companies and high-impact digital transformation projects.

What you will do

  • Architect, build, and scale high-throughput, low-latency data infrastructure connecting cloud data lakes and warehouses to AI backends and real-time agentic workflows.
  • Transform static data repositories into active context layers, vector engines, and memory systems for autonomous AI agents.
  • Build real-time ingestion, event-driven streaming, and retrieval pipelines using RAG, vector stores, and operational databases.
  • Establish data architecture, CI/CD, documentation, and data quality standards while mentoring data engineers.
  • Collaborate with Machine Learning Engineers, Product teams, Creative Directors, and agency stakeholders to deliver production-grade data APIs and schemas.
  • Use AI-assisted development, agentic coding, and automated engineering workflows to accelerate delivery.

Requirements

  • 5+ years of experience designing, building, and scaling data pipelines and cloud infrastructure from the ground up.
  • Experience activating data infrastructure for dynamic, real-time downstream applications rather than focusing solely on batch ETL/ELT or static warehousing.
  • Direct experience building data layers for real-time, event-driven applications, vector databases such as Pinecone, Qdrant, Milvus, or pgvector, or RAG at scale.
  • Strong experience with AWS, GCP, or Azure and modern cloud data stacks including Snowflake, Databricks, or BigQuery.
  • Advanced proficiency in Python and SQL for data processing and real-time pipeline construction.
  • Experience with AI-assisted development tools, agentic coding, and automated engineering workflows.
  • Experience mentoring engineers and setting engineering standards, with exceptional communication skills for a hybrid Tech/Creative culture.
  • Must be located in Latin America.
  • Fluent English required.

Culture & Benefits

  • 100% remote work with the freedom to work from a suitable location using a laptop and reliable internet connection.
  • Competitive compensation paid in USD.
  • Paid time off and an emphasis on well-being and work-life balance.
  • Autonomy to manage working time based on results rather than fixed hours.
  • Opportunities to work with innovative U.S. companies and collaborate with a multicultural network of 600+ professionals across 25+ countries.
  • Collaboration with experienced senior professionals in a diverse Tech and Creative environment.

Hiring process

  • Apply for the position through the provided application route.

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