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2 дня назад

(Senior) AI Engineer (LLM)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Serbia
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) AI Engineer (LLM): Design, build, and deploy production-ready LLM-powered applications, including chatbots, RAG systems, summarization, classification, and evaluation pipelines, with an accent on scalable AI services and cloud deployment. Focus on integrating LLMs with internal data through embeddings and vector search, operating reliable MLOps/LLMOps pipelines, and exposing capabilities through production-grade APIs.

Location: Hybrid work from the SMG office at Milutina Milankovića 1i, Belgrade, Serbia

Salary: Competitive salary

Company

hirify.global operates a network of European online marketplaces across real estate, automotive, general marketplaces, and finance and insurance.

What you will do

  • Design, build, and productionize scalable LLM-powered applications, including chatbots, RAG systems, summarization, classification, and evaluation pipelines.
  • Own GenAI solutions from prototyping and architecture through deployment, monitoring, scaling, and continuous improvement.
  • Integrate LLMs with internal data using retrieval techniques, embeddings, vector search, and search infrastructure.
  • Build reliable ML and GenAI pipelines covering data ingestion, model orchestration, evaluation, deployment, observability, and alerting.
  • Deploy and operate AI and ML systems in AWS and/or GCP cloud environments.
  • Develop production-grade Python APIs, services, and integrations for internal and customer-facing products.

Requirements

  • 5+ years of software engineering experience with an ML or AI background.
  • Strong Python skills and experience writing clean, performant, testable, and maintainable code.
  • Production experience deploying and operating ML, AI, or LLM-based systems.
  • Hands-on experience with LLMs, GenAI APIs, and frameworks such as OpenAI APIs, LangChain, LlamaIndex, or Hugging Face.
  • Experience with RAG, chatbots, information retrieval, AI assistants, MLOps or LLMOps, cloud infrastructure, APIs, CI/CD, containerization, infrastructure as code, and observability.
  • Fluent written and spoken English required.

Nice to have

  • Familiarity with vector databases, embeddings, and search systems.
  • Experience working with large, heterogeneous datasets.

Culture & Benefits

  • Hybrid work environment focused on work-life balance and employee happiness.
  • 25 vacation days per year and private health insurance.
  • Professional development support through free LinkedIn Learning and an annual personal development budget.
  • Profit Growth Scheme, team activities, gym membership, local store discounts, and other fringe benefits.
  • International, collaborative environment with office facilities and equipment provided.

Hiring process

  • Apply with a CV in English; additional documents may also be submitted.

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