FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Python Developer – Generative AI, RAG
QualysoftPython Developer focusing on AI applications and Retrieval-Augmented Generation solutions for telecommunications client in Vienna. Collaborating with a team of architects and scientists to integrate AI models.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing scalable Python applications and backend services, with a strong focus on Retrieval-Augmented Generation solutions and AI-based applications. Proficient in implementing document ingestion workflows and managing vector databases to support advanced search functionalities.
Highest-signal resume keywords
Python Software DevelopmentAPI DevelopmentRetrieval-Augmented Generation SolutionsVector Database ManagementLarge Language Models
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonAPI DevelopmentData ProcessingRetrieval-Augmented GenerationDocument IngestionSemantic SearchVector SearchEmbeddings ManagementDocument ParsingMetadata Management
Tools & Technologies
QdrantWeaviatePineconeMilvusChromaPostgreSQLLangChainLlamaIndex
Industry Keywords
Artificial IntelligenceGenerative AIRAG ArchitecturesLarge Language ModelsData Science
Tech Stack
Tools & technologiesPostgresPython
About the role
Key responsibilities & impact- Development and implementation of scalable Python applications, backend services and AI-based solutions
- Design, development and optimization of complete Retrieval-Augmented Generation pipelines
- Implementation of document ingestion and data-processing workflows
- Generation, management and optimization of embeddings
- Implementation of semantic search, vector search and hybrid search solutions
- Integration and management of vector databases and retrieval systems
- Development and integration of APIs and backend interfaces
- Support of AI use cases from technical conception through implementation to productive operation
- Collaboration with AI architects, data scientists, developers, business departments and other technical stakeholders
Requirements
What you’ll need- At least 5+ years of professional experience in software development with Python
- Very good knowledge of Python and modern Python software-development practices
- Proven experience in the development of APIs, backend services and data-processing applications
- Practical experience in the development and implementation of Retrieval-Augmented Generation solutions
- Very good understanding of RAG architectures, Large Language Models and Generative AI applications
- Experience with document ingestion, document parsing, preprocessing, chunking and metadata management
- Experience with embeddings, semantic search, vector search, retrieval and reranking
- Experience with vector databases such as Qdrant, Weaviate, Pinecone, Milvus, Chroma or PostgreSQL with pgvector
- Experience with RAG and LLM frameworks such as LangChain, LlamaIndex or comparable technologies
- Completed degree in computer science, business informatics, data science, Artificial Intelligence or a comparable qualification
Benefits
Comp & perks- Hybrid working model with 2 days per week on site in Vienna
- Opportunity to actively shape scalable RAG and AI architectures
- Participation in an innovative AI and data transformation project in the telecommunications environment