Назад
1 день назад

Software Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Poland
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
Software Engineer (AI): Building and operating the distributed platform behind Snowflake AI Functions, which runs large-scale model inference directly from SQL with an accent on throughput, cost control, reliability, and multimodal data. Focus on designing high-throughput services, handling concurrency and partial failures, and improving observability and recovery across the inference path.

Location: Warsaw, Poland; hybrid

Company

Snowflake builds a data and applications platform and develops infrastructure for AI-powered data workloads.

What you will do

  • Build and operate the platform behind Snowflake AI Functions, from design and implementation through rollout and production support.
  • Develop infrastructure for large-scale AI inference directly from SQL without moving customer data out of the platform.
  • Design architectures for multimodal inference and support input data beyond plain text.
  • Improve throughput, cost efficiency, reliability, observability, and failure recovery as customer usage grows.
  • Work with research, product, and engineering partners to shape product strategy.
  • Mentor less experienced engineers and communicate complex results to leadership.

Requirements

  • 4+ years of experience building production backend or distributed systems in C++, Java, Go, Python, or a comparable language.
  • BSc in computer science, engineering, physics, mathematics, or another technical field.
  • Experience designing and operating high-throughput services with concurrency, backpressure, partial failures, and observability.
  • Experience designing service or RPC APIs such as REST or gRPC.
  • Experience with software engineering practices including testing, version control, CI/CD, containers, and agile development.
  • Ability to independently turn ambiguous problems into scoped, testable designs and collaborate effectively.

Nice to have

  • Experience with SQL engines, query execution, or other large-scale data systems.
  • Hands-on MLOps experience, such as deploying machine learning models.
  • MSc or PhD in a technical field.

Culture & Benefits

  • Collaborative environment focused on innovation and lasting impact.
  • Experimental, AI-native approach to solving problems.
  • Equal opportunity to develop and implement new ideas.
  • Hybrid work arrangement in Warsaw.

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