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6 дней назад

Senior AI Engineer (Databricks)

Формат работы
hybrid
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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Описание вакансии

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TL;DR
Senior AI Engineer (Databricks): Building production-grade LLM systems, classical ML solutions, RAG pipelines, agentic workflows, and distributed GenAI workloads on Databricks with an accent on architecture, evaluation, and production optimization. Focus on designing scalable client AI solutions, optimizing latency, cost, reliability, and performance, and leading technical decisions in client engagements.

Location: Hybrid in Budapest, Bartók Béla út, Hungary

Company

hirify.global is a Budapest-based team of 250+ data and technology specialists delivering data engineering, data science, artificial intelligence, application development, data warehousing, business intelligence, and data analytics projects for clients worldwide.

What you will do

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

Requirements

  • 5+ years of experience in Data Science or a related field.
  • Proven experience delivering LLM-based systems to production, beyond PoCs, together with experience in classical ML projects.
  • Strong hands-on experience with RAG, agents, and open-source LLMs.
  • Deep understanding of system-level trade-offs involving latency, cost, scaling, and reliability, with experience optimizing production systems.
  • Strong Python and SQL skills.
  • Deep hands-on experience with Databricks and distributed computing with Spark, including performance optimization.
  • Experience deploying scalable ML and LLM systems on AWS, Azure, or GCP.
  • Ability to independently design end-to-end AI solutions for client problems.
  • Client-facing experience and openness to participate in pre-sales processes.
  • Clear, confident communication in English in technical discussions.

Culture & Benefits

  • International projects with clients and partners from around the world, including projects connected with New York, the Netherlands, Sweden, and Scotland.
  • Work with advanced technologies on challenging projects.
  • Mentoring from the first day and continuous personal and professional development support.
  • Learning and development opportunities within a supportive, respectful, and collaborative culture.
  • Emphasis on empowerment, work-life balance, and reducing unnecessary meetings and administration.

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