Job
- Level
- Experienced
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 57.000 € Gross/Year
- Location
- Linz
- Working Model
- Onsite
Job Summary
In this role, you will develop AI services and backends in Python, build RAG pipelines and modular LLM applications, and evaluate new AI models for a personalized digital experience.
Job Technologies
Your role in the team
- 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.
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Our expectations of you
Education
- Degree in Computer Science, Artificial Intelligence, Software Engineering or related field.
Qualifications
- Successfully delivered at least one LLM-based application into production application in a real company environment.
- Excellent Python skills for production-grade backend development.
- 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.
- English skills at a minimum level of C1.
Experience
- 3+ years of professional software engineering experience.
- 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).
- Kubernetes and multimodal AI experience are advantages.
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What we offer
- 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.
- Dynamisches Produktteam mit Gestaltungsspielraum für Arbeitsweisen sowie einer Kultur der Experimentierfreude, Autonomie und Selbstermächtigung.
- 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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Benefits
More net
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
IT:U - Interdisciplinary Transformation University Austria
IT:U - Interdisciplinary Transformation University Austria is an innovative university in Linz focused on digital transformation. With an interdisciplinary approach, it promotes the development of digital skills to tackle modern challenges.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Education System
- Salary
- from 57.000 € Gross/YearNet salary converted from the gross salary in the job ad.from 39.504 € net/Year
- Location
- Linz
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
