Python Developer – Generative AI / RAG (m/f/d)

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.

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.