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6 дней назад

Senior AI Engineer (Databricks)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Hungary
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior AI Engineer (Databricks/LLM): Building production-grade LLM systems, RAG pipelines, agentic workflows, and classical ML solutions with an accent on distributed Databricks workloads, system-level optimization, and evaluation. Focus on architecting scalable AI systems, productionizing monitoring and CI/CD, and translating client problems into reliable end-to-end solutions.

Location: Budapest, Bartók Béla út, Hungary

Company

hirify.global is a Budapest-based data and technology company delivering data engineering, data science, artificial intelligence, application development, data warehousing, business intelligence, and analytics projects for clients worldwide.

What you will do

  • Own the architecture and delivery of production-grade LLM systems and classical machine learning solutions.
  • Design, evaluate, and optimize RAG pipelines, including retrieval, chunking, indexing, and monitoring.
  • Build scalable LLM services, agentic workflows, and distributed GenAI and ML workloads on Databricks using Spark and MLflow.
  • Define trade-offs between LLMs and traditional ML, fine-tuning and RAG, and hosted and self-managed models while optimizing latency, cost, scalability, and reliability.
  • Implement evaluation frameworks and production practices covering quality, hallucination, CI/CD, monitoring, rollback, and versioning.
  • Design client-focused AI solutions, lead technical decisions and pre-sales architecture discussions, and mentor team members.

Requirements

  • 5+ years of experience in data science or a related field.
  • Production experience delivering LLM-based systems and classical machine learning projects.
  • Hands-on experience with RAG, agents, open-source LLMs, Databricks, distributed computing, and Spark performance optimization.
  • Strong Python and SQL skills.
  • Experience deploying scalable ML and LLM systems on AWS, Azure, or GCP.
  • Clear, confident English communication is required for technical discussions. Client-facing experience and participation in pre-sales processes are expected.

Culture & Benefits

  • International projects with clients and partners across global markets.
  • Work with advanced and cutting-edge technologies.
  • Mentoring from the first day and ongoing personal and professional development support.
  • Learning and development opportunities.
  • Supportive culture focused on trust, collaboration, respect, and work-life balance.

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