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13 часов назад

AI Engineer (Python)

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
AI Engineer (Python) (LLM/GenAI): Building and operating production-ready AI solutions for European real estate marketplaces with an accent on LLM-powered applications, RAG systems, APIs, and scalable ML pipelines. Focus on integrating models with heterogeneous data sources, implementing LLMOps and MLOps, and ensuring reliable deployment, monitoring, observability, and continuous improvement.

Location: Hybrid work environment in Belgrade, Serbia

Company

hirify.global operates digital marketplaces across real estate, automotive, general marketplaces, and finance and insurance, including Homegate and ImmoScout24.

What you will do

  • Design, build, deploy, and operate scalable LLM-powered applications, including chatbots, RAG systems, summarization, classification, and evaluation pipelines.
  • Own generative AI 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.
  • Develop production-grade Python APIs, services, and integrations for internal and customer-facing products.
  • Collaborate with data scientists, engineers, product stakeholders, and business teams to define objectives, metrics, and production requirements.

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.
  • Experience deploying and operating ML, AI, or LLM-based systems in production.
  • Hands-on experience with LLMs, GenAI APIs, and frameworks such as OpenAI APIs, LangChain, LlamaIndex, or Hugging Face.
  • Experience with MLOps or LLMOps, cloud infrastructure such as AWS or GCP, APIs, CI/CD, containerization, infrastructure-as-code, observability, and incident handling.
  • Fluent English, written and spoken, is required.

Nice to have

  • Familiarity with vector databases, embeddings, and search systems.
  • Experience with large, heterogeneous datasets and recommendation, prediction, fraud, or classification systems.

Culture & Benefits

  • Hybrid work environment with a focus on work-life balance and employee happiness.
  • 25 vacation days per year and private health insurance.
  • Free LinkedIn Learning and an annual personal development budget.
  • Profit Growth Scheme, company phone, gym membership, local discounts, and other fringe benefits.
  • International, collaborative workplace with team activities and a comfortable office in Belgrade.

Hiring process

  • Apply with a CV in English and optionally provide additional supporting documents.

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