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Топовая вакансия
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Роль в AI-инфраструктуре огромного масштаба в глобальном продуктовом гиганте с современным стеком и отличными бонусами. Шикарный вариант для тех, кто хочет работать с петабайтами данных и LLM.
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Огромный масштаб
Трендовый домен
Сильная инженерная культура
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Engineer (AI Platform): Building data pipelines, AI platform infrastructure, and services supporting LLM analytics, knowledge bases, and vector search with an accent on Python, modern data platforms, and production observability. Focus on designing RAG infrastructure, exposing data through APIs and interactive interfaces, and making architectural decisions for systems operating at petabyte scale.
Location: Remote; employees can work from anywhere in the world
Company
hirify.global is a mobile game development company whose AI Platform team provides shared infrastructure for AI products across the company.
What you will do
Build and own data pipelines and the platform layer supporting company-wide AI products.
Develop analytics for LLM usage, including token consumption, caching, costs, and AI spending reports.
Improve pipeline operability through profiling, monitoring, and observability in production.
Build APIs, authorization, interfaces, and services that provide interactive access to data consumers.
Make safe and effective architectural decisions for systems operating across approximately 7 petabytes of data.
Requirements
Strong commercial experience in data engineering with modern tools such as Airflow, Dagster, Greenplum, Snowflake, Databricks, dbt, or similar.
Confident Python skills and a backend mindset covering authorization, service exposure, and service consumption.
Practical experience profiling and monitoring production data systems.
Conceptual understanding of vector databases, embeddings, contextual and semantic search, RAG architectures, and autonomous agents.
Cloud experience, ideally with AWS.
Culture & Benefits
Flexible schedule and remote work from anywhere in the world.
Access to mentoring and a large knowledge base within a team of more than 500 professional engineers.
Opportunities to make architectural decisions, develop product ideas, and move between professional areas.
Paid vacation and sick leave, voluntary health insurance, and reimbursements for psychological support, fitness, and wellness services.
Funding for conferences, courses, internal events, foreign language courses, and additional paid education leave.
Regular team events, hackathons, competitions, and partial reimbursement of eligible pet-related expenses.
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