Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
развернуть
По международному рынку данных пока нет
На СНГ рынке: $4.9к/мес ($3.8к - $5.9к)
83
Хорошая вакансия
развернуть
У роли понятный лидерский уровень и заметная зона ответственности в быстрорастущем AI-направлении; при модели staff augmentation контекст и стабильность проектов могут различаться.
?Клиентские проекты
Современный AI-стек
Влияние на команду
Гибкий формат
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
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.
Будьте осторожны
Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →