3 месяца назад
Python Developer (Generative AI / RAG)
9 240 - 10 080€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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