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3 месяца назад

Python Developer (Generative AI / RAG)

9 240 - 10 080€
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Austria
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Python Developer (Generative AI / RAG): Developing and optimizing scalable backend services and end-to-end Retrieval-Augmented Generation pipelines for a telecommunications project with an accent on data-processing workflows and LLM integration. Focus on designing robust document ingestion, vector search mechanisms, and ensuring high-quality, production-ready AI application performance.

Location: Must be based in or able to work on-site in Vienna, Austria (Hybrid: 2 days/week on-site)

Salary: €440–€480 per day

Company

hirify.global is a professional services firm specializing in software development and digital transformation projects.

What you will do

  • Design and implement scalable Python backend services and AI-driven solutions.
  • Develop and optimize complete RAG pipelines, including document parsing, chunking, and embedding strategies.
  • Integrate vector databases and manage retrieval and reranking mechanisms.
  • Implement prompt construction, context management, and LLM integration for reliable answer generation.
  • Collaborate with AI architects and data scientists to integrate AI applications into existing cloud and system landscapes.
  • Ensure system reliability through automated testing, logging, monitoring, and observability.

Requirements

  • 5+ years of professional experience in Python software development.
  • Proven experience in developing and implementing RAG solutions and LLM applications.
  • Strong understanding of vector databases (e.g., Qdrant, Weaviate, Pinecone) and RAG frameworks (e.g., LangChain, LlamaIndex).
  • Must be available for a hybrid role in Vienna, Austria.
  • Very good written and spoken English skills.
  • Degree in computer science, data science, or a related field.

Nice to have

  • Experience in the telecommunications sector.
  • Knowledge of cloud technologies (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
  • Experience with MLOps/LLMOps and AI governance.
  • Familiarity with knowledge graphs or agent-based AI systems.

Culture & Benefits

  • Participation in a high-impact, innovative AI and data transformation project.
  • Opportunity to work with modern AI, LLM, and cloud technology stacks.
  • High level of personal responsibility and technical influence.
  • Collaborative environment with international stakeholders and expert teams.
  • Long-term project engagement with potential for extension.

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