Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Понятная задача - создавать прикладные AI- и data-решения от прототипа до продакшена, с высокой самостоятельностью и заметным результатом; широкий внутренний консалтинг потребует переключаться между командами и задачами.
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Много самостоятельности
Новая AI-команда
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI & Data Technical Consultant (AI/data): Building production AI solutions, data pipelines, and models for ecommerce fulfillment teams with an accent on rapid prototyping, internal consulting, and measurable adoption. Focus on deploying secure and monitored agents, RAG assistants, and automations, integrating business tools, and enabling colleagues to build with AI.
Location: Czechia or Poland; Prague office
Company
hirify.global provides technology-powered fulfillment and logistics services for ecommerce and direct-to-consumer brands through its proprietary platform and owned fulfillment centers.
What you will do
Identify AI opportunities across HR, Sales, Marketing, and Operations and turn vague requests into scoped projects.
Rapidly prototype with AI coding tools, then secure, monitor, deploy, and maintain successful solutions in production.
Build data pipelines into Snowflake and clean data models in dbt.
Deliver agents, RAG assistants, and automations with evaluations to measure their effectiveness.
Integrate solutions with Slack, CRM, ticketing systems, n8n, and MCP.
Lead AI enablement through workshops, office hours, templates, adoption measurement, and iteration.
Requirements
Hands-on AI-first development experience using Claude Code, Cursor, or similar tools.
Experience taking applications into production, including deployment, security, monitoring, and use by real users.
Experience building a data pipeline or data model relied on by real users.
Strong Python and SQL skills.
Ability to work with business users, own problems from idea through adoption, and demonstrate impact with numbers.
3+ years of hands-on engineering experience in a product, startup, solutions, or data team.
Willingness to experiment with new AI tools and teach others how to use them.
Nice to have
Snowflake, dbt, or Airflow experience.
Pydantic AI, Langfuse, or similar tools.
TypeScript or Streamlit for rapid internal front ends.
Culture & Benefits
Mandate to identify and build AI opportunities across the company.
Direct access to colleagues as users, enabling visible impact within weeks.
High autonomy and direct access to leadership.
Time to try new AI tools and approaches.
Small team based in the Karlín office.
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