AI Engineer

• 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.

• 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

Competitive compensation starting from EUR 57.000 yearly gross salary., Full Time (Permanent employment)

• Monday to Friday
• 38,5 hours