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7 дней 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): Designing and deploying production-ready AI solutions for Swiss real estate marketplaces with an accent on LLM-powered applications, RAG systems, and scalable ML platforms. Focus on building retrieval and evaluation pipelines, operating cloud-based AI services, and integrating reliable APIs into customer-facing products.

Location: Hybrid work from the SMG office in Belgrade, Serbia

Company

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

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 large language models with internal data sources using embeddings, retrieval techniques, vector search, and search infrastructure.
  • Build reliable ML and GenAI pipelines covering data ingestion, model orchestration, evaluation, deployment, observability, and alerting.
  • Deploy AI and ML systems on AWS and GCP and develop production-grade APIs, services, and integrations.
  • 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.
  • Production experience with ML, AI, or LLM-based systems and end-to-end ownership of RAG, chatbot, information retrieval, or AI assistant solutions.
  • Experience with LLMs, GenAI APIs, MLOps or LLMOps, cloud infrastructure, APIs, pipelines, CI/CD, containerization, infrastructure as code, and observability.
  • Familiarity with vector databases, embeddings, search systems, large heterogeneous datasets, and production incident handling.
  • Fluent English, written and spoken, is required.

Culture & Benefits

  • Hybrid work environment with a collaborative, cross-functional, and international team.
  • 25 vacation days per year and private health insurance.
  • Free LinkedIn Learning and an annual personal development budget.
  • Profit Growth Scheme, team activities, gym membership, local store discounts, and other fringe benefits.
  • Office space with parking and professional equipment.

Hiring process

  • Apply with a CV in English.
  • Additional documents may be submitted to support the application.

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