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# AI Engineer

- **Company:** IT:U - Interdisciplinary Transformation University Austria
- **Location:** Linz, Austria
- **Experience:** Experienced
- **Salary:** €57,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Continuous Integration, Python (Programming Language), Open Source Technology, Software Architecture, Regression Testing, Software Engineering, Large Language Models, Generative AI, Backend, Git, AI Platforms, Kubernetes, Information Technology, Low Latency, Machine Learning Operations, Restful APIs, Docker
- **Published:** July 17, 2026
- **Apply:** https://www.karriere.at/jobs/10026786

## About the Role

* Degree in Computer Science, Artificial Intelligence, Software Engineering or related field
 * 3+ years professional software engineering experience
 * Successfully delivered at least one LLM-based application into production application in a real company environment
 * Excellent Python skills for production-grade backend development
 * Experience with RAG, hybrid retrieval (BM25 + dense), vector databases, tool calling, memory and context engineering
 * Experience with Haystack, LlamaIndex and/or PydanticAI
 * Experience with evaluation frameworks (e.g. DeepEval) and MLOps (e.g. MLflow)
 * Strong software engineering skills (REST APIs, Git, Docker, CI/CD, software architecture)
 * Understanding of cloud/self-hosted LLM deployment, token costs, latency and scalability
 * Knowledge in modern LLM APIs and open-source models and Model Context Protocol
 * Prompt and context engineering knowledge
 * Ability to determine when deterministic software is preferable to AI-based approaches
 * Understanding of GDPR, privacy-preserving AI and PII detection/removal
 * Kubernetes and multimodal AI experience are advantages
 * English skills at a minimum level of C1, * Python skills
 * Haystack
 * LlamaIndex
 * PydanticAI
 * evaluation frameworks
 * MLOps
 * software engineering skills
 * LLM APIs and open-source models
 * Model Context Protocol, * English C1, * Degree in Computer Science, Artificial Intelligence, Software Engineering or related field

## Description

* Design and implement production-ready AI services and AI backends using Python
 * Build AI Features as a Service consumed by multiple university applications
 * Design, implement and optimize Retrieval-Augmented Generation (RAG) pipelines
 * Develop modular LLM applications including tool calling, memory and retrieval
 * Evaluate and integrate foundation models based on capability, latency and cost
 * Design scalable AI architectures using caching, queues and asynchronous processing
 * Develop prompt and context engineering strategies
 * Implement evaluation pipelines for AI quality, hallucination detection and regression testing
 * Explore multimodal AI including OCR, TTS, STT and image generation
 * Ensure GDPR compliance, PII removal and responsible AI practices
 * Collaborate with software engineers, data engineers, product owners and UX designers
 * Continuously evaluate new AI models, frameworks and tooling
 * Share best practices and foster knowledge exchange about AI development, * Build strong AI capabilities and features that will directly impact the development of smart solutions for students and staff, enabling personalized and trustworthy digital experience
 * Work in an innovative educational and research institution with an international focus
 * Unique opportunity to help build a new university
 * Dynamic product team with scope to shape how to work and a culture of experimentation, autonomy and self-empowerment
 * Social activities that foster a collaborative work environment
 * Free parking or Climate Ticket Upper Austria
 * Join an expanding, motivated team that thrives on continuous learning - especially in cutting-edge fields like AI. We value curiosity and we invest in expanding our expertise together.


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