Назад
Company hidden
5 дней назад

AI & Data Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Poland/CR
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
AI & Data Engineer (AI/data engineering): Building end-to-end AI solutions, data pipelines, clean data layers, and production applications for HR, Sales, Marketing, and Operations with an accent on AI-first development, reliable data, and LLM features. Focus on building RAG systems, agents, assistants, evaluations, monitoring, and production-grade automations.

Location: Czechia, Poland, or Prague; Karlín office

Company

hirify.global provides technology-powered fulfillment and logistics services for ecommerce and DTC brands through a proprietary platform and owned fulfillment centers.

What you will do

  • Identify AI opportunities across HR, Sales, Marketing, and Operations and turn them into scoped projects.
  • Build, deploy, secure, monitor, and maintain AI-powered applications and automations used by real people.
  • Build pipelines from business systems into Snowflake and create clean, tested data layers in dbt.
  • Develop LLM features including RAG systems, agents, and assistants with evaluations and monitoring.
  • Drive AI enablement through tools, templates, sessions, and guidance for colleagues.
  • Experiment with new AI tools and retain effective solutions.

Requirements

  • Work AI-first with tools such as Claude Code or Cursor as part of daily development.
  • Experience deploying applications built with AI coding tools to production, including hosting, security, monitoring, and real user adoption.
  • Experience building at least one data pipeline and data model relied on by others for reporting, an application, or a product.
  • Strong Python and SQL skills.
  • Hands-on experience with an analytical warehouse such as Snowflake and an orchestrator such as Airflow.
  • Ability to explain technical trade-offs clearly to non-technical colleagues.
  • At least 3 years of hands-on engineering experience in data, software, or AI.

Nice to have

  • Production experience with dbt.
  • Experience with Pydantic AI, Langfuse, or similar AI tooling.
  • TypeScript for simple front ends.
  • n8n, Zapier, or MCP integrations.

Culture & Benefits

  • Build a new AI domain from the ground up with visible impact in the first months.
  • Short path to leadership with few management layers.
  • Work with real data at scale across a company of 2,500+ people in five countries.
  • Time to experiment with new AI tools.
  • Work in a small senior team at the Karlín office.

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 →