Python Developer – Generative AI, RAG

Jobtailor; Wien; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Jobtailor in Vienna, Austria, seeks a senior Python backend developer to design and implement scalable AI-enabled solutions. You will build and optimize Retrieval-Augmented Generation pipelines, handle document ingestion and processing, and manage embeddings and vector databases to support advanced search functionalities.

You will work with AI architects, data scientists, developers and business stakeholders to bring AI use cases from concept through production, leveraging RAG architectures,

Qualifikationen

• 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

Aufgaben

• Develop scalable Python applications and backend services with a focus on Retrieval-Augmented Generation solutions.
• Design, implement and optimize RAG pipelines and semantic search functionalities.
• Implement document ingestion, parsing, preprocessing, chunking and metadata-management workflows.
• Develop and manage embeddings and vector-databases for efficient retrieval and ranking.
• Collaborate with AI architects, data scientists, developers and business stakeholders.
• Integrate APIs and backend interfaces to support AI use cases from concept to production.

Kenntnisse

Python

API Development

Data Processing

Retrieval-Augmented Generation

Document Ingestion

Semantic Search

Vector Search

Embeddings Management

Document Parsing

Metadata Management

LLMs

LangChain

LlamaIndex

Ausbildung

Bachelor's degree in Computer Science or equivalent

Tools

Qdrant

Weaviate

Pinecone

Milvus

Chroma

PostgreSQL with pgvector

LangChain

LlamaIndex

Jobbeschreibung

• 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