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13 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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Описание вакансии

Текст:
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TL;DR
Senior GenAI Engineer (Agentic AI & Databricks) (GenAI, AI agents, Databricks): Building an ecosystem of AI agents for knowledge-intensive workflows, large-scale content processing, and insight generation from diverse data sources with an accent on lakehouse architecture, data pipelines, and ontology-based knowledge modeling. Focus on designing agentic systems, shaping an evolving architecture, integrating agents with Databricks, and building robust Python scraping and indexing components.

Location: Remote work from Romania

Company

hirify.global is a technology company headquartered in Cluj-Napoca with offices in Oradea, serving major brands through software development, digital transformation, and managed services.

What you will do

  • Shape architectural decisions, evaluate technical trade-offs, and co-own the technical direction.
  • Design, build, and orchestrate AI agents for data collection, indexing, and market-intelligence use cases.
  • Develop and maintain Databricks data pipelines and lakehouse structures.
  • Build ontology-based knowledge-modeling components to ground agent reasoning.
  • Integrate AI agents with Databricks Genie or custom agent frameworks.
  • Develop Python-based web scraping and content-indexing components while collaborating through design reviews and delivery.

Requirements

  • Senior-level experience owning complex technical solutions from design through production.
  • Strong Python engineering skills.
  • Hands-on experience with GenAI, LLM-based applications, agentic frameworks, and prompt or tool orchestration.
  • Experience building data pipelines and working with structured and unstructured data.
  • Experience with Databricks lakehouse, notebooks, and workflows.
  • Ability to make technical decisions with incomplete information and evaluate tools based on the problem.

Nice to have

  • Knowledge graphs or ontology-based approaches.
  • Web scraping or crawling at scale.
  • Databricks Genie or data-platform-connected agent frameworks.
  • Market intelligence, competitive analysis, or content indexing experience.
  • Architecture experience in early-stage or greenfield projects.

Culture & Benefits

  • Inclusive, merit-based workplace focused on diversity and respectful collaboration.
  • Medical benefits, gym support, and personalised fitness options.
  • Team events and a Healthy Habits Club.
  • Flexible work-life arrangements within a hybrid community.
  • Programs supporting physical, emotional, and social wellbeing.

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