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10 дней назад

Senior GenAI Engineer (Agentic AI & Databricks)

Формат работы
remote (только Romania)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Romania
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior GenAI Engineer (Agentic AI & Databricks) (GenAI/Databricks): Building an ecosystem of AI agents for automating knowledge-intensive workflows across structured and unstructured data with an accent on agent orchestration, lakehouse engineering, and knowledge modeling. Focus on designing evolving GenAI architecture, integrating LLMs and tools with Databricks, and developing reliable Python components for web extraction and indexing.

Location: Remote from Romania

Company

hirify.global is a technology company headquartered in Cluj-Napoca with offices in Oradea, providing software development and managed services for major brands across retail, manufacturing, finance, and banking.

What you will do

  • Shape GenAI architecture, evaluate trade-offs, and own technical decisions from design through production delivery.
  • Design, build, and orchestrate AI agents using LLMs, prompts, and tools for data collection, indexing, and market intelligence workflows.
  • Develop Databricks lakehouse structures and data pipelines for structured and unstructured data.
  • Build ontologies and knowledge models that provide context for agent reasoning.
  • Integrate agents with Databricks capabilities and evaluate Genie and custom agent frameworks.
  • Develop Python components for web scraping, content extraction, indexing, and continuous engineering improvements.

Requirements

  • Senior-level engineering experience owning complex solutions from architecture and design through production.
  • Strong Python engineering skills and experience writing reliable production code.
  • Hands-on experience with GenAI applications, LLM integration, agentic frameworks, and prompt and tool orchestration.
  • Experience building data pipelines and processing structured and unstructured data.
  • Practical Databricks experience, including lakehouse structures, notebooks, and workflows.
  • Strong architectural judgment, delivery focus, technology-agnostic decision-making, collaboration, and communication skills.

Nice to have

  • Experience with knowledge graphs, ontologies, scalable web scraping, or crawling solutions.
  • Familiarity with Databricks Genie or agent frameworks integrated with data platforms.
  • Experience in market intelligence, competitive analysis, content indexing, or greenfield architecture.

Culture & Benefits

  • Full-time employment in a people-first and inclusive organisation.
  • Medical benefits, gym support, personalised fitness options, and wellbeing programmes.
  • Flexible work-life arrangements and a hybrid community environment.
  • Team events, social activities, and programmes supporting physical, emotional, and social wellbeing.

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