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
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 Core Competencies
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 Development API Development Retrieval-Augmented Generation Solutions Vector Database Management Large Language Models ATS Optimization Keywords
Hard Skills
Python API Development Data Processing Retrieval-Augmented Generation Document Ingestion Semantic Search Vector Search Embeddings Management Document Parsing Metadata Management Industry Keywords
Artificial Intelligence Generative AI RAG Architectures Large Language Models Data Science Tools & Technologies
Qdrant Weaviate Pinecone Milvus Chroma PostgreSQL LangChain LlamaIndex
#J-18808-Ljbffr
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 Core Competencies
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 Development API Development Retrieval-Augmented Generation Solutions Vector Database Management Large Language Models ATS Optimization Keywords
Hard Skills
Python API Development Data Processing Retrieval-Augmented Generation Document Ingestion Semantic Search Vector Search Embeddings Management Document Parsing Metadata Management Industry Keywords
Artificial Intelligence Generative AI RAG Architectures Large Language Models Data Science Tools & Technologies
Qdrant Weaviate Pinecone Milvus Chroma PostgreSQL LangChain LlamaIndex
#J-18808-Ljbffr
Python Developer – Generative AI, RAG Arbeitgeber: Jobtailor
Als Global Director B2B – Business Development bei uns profitieren Sie von einer dynamischen und innovativen Arbeitsumgebung, die auf Zusammenarbeit und Kreativität setzt. Wir bieten Ihnen nicht nur attraktive Vergütungsmodelle und umfassende Weiterbildungsmöglichkeiten, sondern auch die Chance, in einem internationalen Team zu arbeiten, das Vielfalt und persönliche Entwicklung fördert. Unsere Unternehmenskultur legt großen Wert auf Flexibilität und Work-Life-Balance, sodass Sie Ihre Karriereziele in einem unterstützenden Umfeld erreichen können.
