20 beste Stellen als integration architect in wien – aktuell auf Personalsuche

For a challenging AI and data transformation project with a client in the telecommunications sector, we are looking for an experienced Python Developer – Generative AI / RAG (m/f/d) in Vienna.

The focus of the role is on the development of modern, data-driven AI applications and production-ready Retrieval-Augmented Generation solutions. We are looking for an experienced Python developer with a strong analytical mindset who can design, implement and optimize scalable backend services, data-processing workflows and end-to-end RAG pipelines.

You will take on a central role in the technical implementation of modern AI use cases and support the client in integrating Large Language Models and RAG based applications into existing data, cloud and system landscapes. You will work closely with AI architects, data scientists, software developers, business departments and technical stakeholders.

You can expect an innovative project environment with high technological relevance, international stakeholders and modern AI, data and cloud technologies.

€440 - €480 a day

Conditions

Location: Vienna

Start: ASAP

Duration: 12 months+ option for extension

Capacity: 100 %

Working model: Hybrid, 2 days per week on site in Vienna

Project language: English

Your Tasks

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
Development of suitable document parsing, preprocessing, chunking and metadata strategies
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 optimization of retrieval and reranking mechanisms
Implementation of prompt construction, prompt templates and context-management strategies
Integration of Large Language Models for reliable and context-based answer generation
Implementation of citation handling, source attribution and traceability mechanisms
Development and integration of APIs and backend interfaces
Integration of AI applications into existing IT, data, database and cloud landscapes
Design and implementation of data-driven evaluation processes for RAG and AI solutions
Analysis and improvement of retrieval quality, answer quality, relevance and system performance
Development of automated unit, integration and end-to-end tests
Implementation of logging, monitoring, error handling and observability mechanisms
Creation of technical documentation and development standards
Application of professional software-development practices, including version control, code reviews and CI/CD
Collaboration with AI architects, data scientists, developers, business departments and other technical stakeholders
Support of AI use cases from technical conception through implementation to productive operation

Your Profile

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
Experience with relational and/or NoSQL databases
Sound understanding of APIs, integration patterns and backend architectures
Experience with Git and professional version-control workflows
Experience with unit testing, integration testing and automated software testing
Experience with logging, monitoring, debugging and production software operations
Knowledge of clean code principles, software architecture and maintainable application design
Strong data-driven and analytical mindset
Ability to evaluate technical solutions based on measurable quality, performance and business requirements
Completed degree in computer science, business informatics, data science, Artificial Intelligence or a comparable qualification
Very good written and spoken English skills
Structured, independent and solution-oriented way of working
Strong communication and collaboration skills

Nice to Have

Experience in the telecommunications environment
Experience with cloud technologies such as AWS, Microsoft Azure or Google Cloud
Experience with Docker, Kubernetes and CI/CD pipelines
Experience with Python frameworks such as FastAPI, Flask or Django
Knowledge of MLOps, LLMOps or AI platform architectures
Experience with the evaluation of RAG systems, including retrieval quality, answer relevance, groundedness, hallucination detection and citation accuracy
Experience with hybrid search, knowledge graphs or graph-based RAG architectures
Experience with agent-based AI systems and tool-using Large Language Models
Experience with open-source and commercial Large Language Models
Experience with LLM observability, tracing and evaluation platforms
Knowledge of AI governance, Responsible AI, data protection, security and compliance requirements
Experience in international and interdisciplinary project environments
Relevant AI, cloud or software-development certifications

What You Can Expect

Participation in an innovative AI and data transformation project in the telecommunications environment
Exciting technological environment with a focus on Python, Generative AI and Retrieval-Augmented Generation
Opportunity to develop and operate modern, production-ready AI applications
High level of personal responsibility and opportunities to shape technical solutions
Collaboration with international stakeholders and technical expert teams
Hybrid working model with 2 days per week on site in Vienna
Opportunity to actively shape scalable RAG and AI architectures
Use of modern Python, LLM, vector database and cloud technologies
Long-term relevant project environment with high strategic importance

Interested?

Please send us your current CV, including your availability and hourly rate expectations. We look forward to hearing from you.

You are welcome to contact me by email or via LinkedIn.

Elena Kahraman

Thank you for your understanding.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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