#TRANSFORMINGTOMORROW: MAKE A DIFFERENCE WITH US.
IT:U is a new technical university in Austria (Linz) dedicated to digital transformation, driven by interdisciplinary research and project-based learning to actively shape this transformation and advance it with a solution-oriented approach.
Join us as an AI Engineer (f/m/d)*
We are looking for a curious and pragmatic AI Engineer to build production-ready AI systems and services that power applications for students, researchers and employees.
Your tasks and responsibilities:
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
Your strengths and skills:
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
What you can expect:
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.
Details about this job
Full Time (Permanent employment)
- Monday to Friday
- 38,5 hours
Place of work
- Linz
Must-have skills
- Python skills
- Haystack
- LlamaIndex
- PydanticAI
- evaluation frameworks
- MLOps
- software engineering skills
- LLM APIs and open-source models
- Model Context Protocol
Required languages
- English C1
Must-have education
- Degree in Computer Science, Artificial Intelligence, Software Engineering or related field
Details about this job
Full Time (Permanent employment)
- Monday to Friday
- 38,5 hours
Place of work
- Linz
Must-have skills
- Python skills
- Haystack
- LlamaIndex
- PydanticAI
- evaluation frameworks
- MLOps
- software engineering skills
- LLM APIs and open-source models
- Model Context Protocol
Required languages
- English C1
Must-have education
- Degree in Computer Science, Artificial Intelligence, Software Engineering or related field
Salary
Competitive compensation starting from € 57.000 yearly gross salary.
Benefits
-
Team events
-
Parking space
-
Transportation allowance
-
Climate Ticket Upper Austria
-
Team events
-
Parking space
-
Transportation allowance
-
Climate Ticket Upper Austria
Contact person
Sonja Pfaffeneder
HR Generalistin
*Come as you are – we value and promote diversity in our team. Everyone is encouraged to reach their full potential, realize ideas and seize opportunities. Regardless of age, skin colour, religion, gender, sexual orientation or origin, we welcome applications from all people equally.
