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

Qualysoft

Wien

On-site

EUR 81,180 - 88,560

Full time

14 days+
Application generator

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Benefits offered by this job

Hybrid work model
Onsite Vienna 2 days/week

Job summary

Qualysoft seeks an experienced Python Developer for Generative AI and Retrieval-Augmented Generation (RAG) projects in Vienna. You will develop scalable backend services, implement RAG pipelines, and integrate LLMs into data, cloud and IT landscapes.

The role emphasizes API design, data processing and collaboration with AI architects and stakeholders. The position offers a hybrid work model with 2 onsite days in Vienna, and project language is English.

Qualifications

  • 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 APIs, backend services and data-processing applications.
  • Experience with Retrieval-Augmented Generation (RAG) solutions.
  • Strong understanding of LLMs, Generative AI and RAG architectures.

Responsibilities

  • Develop scalable Python applications and backend services.
  • Design and optimize complete RAG pipelines.
  • Implement document ingestion and data-processing workflows.
  • Develop parsing, preprocessing, chunking, and metadata strategies.
  • Manage embeddings and vector search solutions.
  • Integrate LLMs for context-based answer generation.
  • Create APIs and backend interfaces.
  • Collaborate with AI architects, data scientists, and stakeholders.
  • Maintain code quality with tests and CI/CD.

Skills

Python
Generative AI
RAG
APIs
Data-driven mindset
English skills

Education

Bachelor's degree in CS or related

Tools

LangChain
LlamaIndex
PostgreSQL
Docker
Kubernetes
Qdrant
Weaviate
Pinecone

Job description

ForachallengingAIanddatatransformationprojectwithaclientinthetelecommunicationssector,wearelookingforanexperiencedPythonDeveloper–GenerativeAI/RAG(m/f/d)inVienna.

Thefocusoftheroleisonthedevelopmentofmodern,data-drivenAIapplicationsandproduction-readyRetrieval-AugmentedGenerationsolutions.WearelookingforanexperiencedPythondeveloperwithastronganalyticalmindsetwhocandesign,implementandoptimizescalablebackendservices,data-processingworkflowsandend-to-endRAGpipelines.

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.

Youcanexpectaninnovativeprojectenvironmentwithhightechnologicalrelevance,internationalstakeholdersandmodernAI,dataandcloudtechnologies.

€440 - €480 a day

Conditions

Location: Vienna

Start: ASAP

Duration: 12 months + option for extension

Capacity: 100%

Working model: Hybrid, 2 days per week onsite 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 unittesting, 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 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 onsite 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 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.

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