Technical skills
About this role
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.
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