Job
- Level
- Erfahren
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- ab 45.800 € Brutto/Jahr
- Ort
- Graz
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du produktionsbereite Agenten für die klinische Anwendung, optimierst deren Performance und Qualität, und implementierst Evaluationsinfrastrukturen im regulierten Gesundheitsumfeld.
Job Technologien
Deine Rolle im Team
- You will contribute to the engineering behind our agentic AI roadmap: designing, building, configuring, evaluating, and operating production-ready agents that work reliably and safely in a regulated healthcare environment.
- This is an application- and systems-layer engineering role.
- Your success is measured by delivering agents that survive contact with real users and real clinical workflows.
- You will work closely with clinical, product, and domain experts, but your core craft is shipping and qualifying agentic systems, building the evaluation infrastructure, and optimizing the cost and latency of running them at scale.
- Build or configure production-ready agents.
- Design and ship multi-step, tool-using agents with memory and state for clinical and operational workflows.
- Own them end-to-end, including orchestration, and integration.
- Support our delivery and operation teams with deployment, and finding and fixing the root causes of failures.
- Own the evaluation harness.
- Build and maintain offline eval datasets, combine LLM-as-judge with deterministic checks, and wire regression gates into CI so quality is enforced before release — not discovered in production.
- Design and optimise RAG.
- Build retrieval pipelines over structured and unstructured clinical text: chunking, embedding and retrieval strategy, reranking, and grounded/cited generation.
- Measure retrieval quality (faithfulness, context relevance, recall), not just end-output vibes.
- Qualify agents for a regulated setting.
- Define acceptance criteria and failure-mode analyses; design guardrails, human-in-the-loop, and escalation paths; and produce the validation and verification evidence and traceability expected under Medical Device Regulation (MDR) and the EU AI Act for clinical AI.
- Instrument and observe in production.
- Enable tracing every step an agent takes — LLM calls, tool calls, retrieval steps — monitor for quality drift, and close the loop by turning production failures into new eval cases.
- Optimise cost and latency.
- Treat cost-per-task as a first-class metric.
- Apply model routing/selection, caching, token budgeting, batching, and prompt efficiency.
Unsere Erwartungen an dich
Ausbildung
- A degree in computer science, software engineering, or a related field.
Qualifikationen
- Demonstrated, shipped production AI systems (preferably LLM/agent systems) — real systems that ran in front of real users, not notebooks or proofs-of-concept.
- Be ready to walk us through one, including how it failed and what you did about it.
- Strong software engineering fundamentals: Python, API design, automated testing, version control, containerisation.
- Hands-on agent orchestration with at least one framework and a clear understanding of how agentic systems break in production.
- Comfort with ambiguity and unstructured problems, plus clear communication — able to explain technical trade-offs to clinical and product stakeholders.
- Proficiency in English and German language.
- Healthcare/clinical-software and data exposure.
- Strong foundation in statistics and probability theory.
- Awareness of MDR and EU AI Act implications for clinical AI (high-risk classification, human oversight, data governance, post-market monitoring).
- Deep cloud platform knowledge (especially AWS) and infrastructure-as-code.
- Model adaptation or fine-tuning.
- Familiarity with guardrail and safety frameworks for LLM applications.
- Proficiency in Italian language.
Erfahrung
- Practical RAG experience: embeddings and vector stores, retrieval design, and retrieval-specific evaluation.
- LLM evaluation experience: building or operating eval harnesses and observability/tracing tooling.
Unser Angebot
- The minimum salary for this position is €45,800 gross per year (38.5 hours/week) in accordance with the Austrian IT collective agreement.
- Overpayment, including a bonus scheme, is of course possible depending on qualifications and experience.
Benefits
Gesundheit, Fitness & Fun
Mehr Netto
- 🚂Klimaticket
- 📱Handy zur Privatnutzung
- 👴🏻Betr. Altersvorsorge
- 👷♂️Zusatzversicherung
- 🚎Verkehrsmittel-Zuschuss
Work-Life-Integration
Essen & Trinken
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Dedalus HealthCare GesmbH
Wien
Dedalus strebt an, einer der führenden Anbieter von Gesundheits-IT auf dem globalen Markt zu werden. Dies beinhaltet insbesondere die Bereiche: Krankenhausinformationssysteme (ORBIS), Radiologie-IT (ORBIS RIS/IMPAX EE), Kardiologie-IT, ECM/DMS(HYDMedia), Business Intelligence (TIP HCe) sowie Integrated Care (Engage Suite).
Description
- Unternehmensgröße
- 250+ Employees
- Gründungsjahr
- 1982
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Gesundheitswesen, Soziales, Internet, IT, Telekom
AI Engineer - Healthcare IT
- Gehalt
- ab 45.800 € Brutto/JahrNetto aus dem Bruttogehalt im Inserat umgerechnet.ab 33.095 € netto/Jahr
- Ort
- Graz
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
