Job
- Level
- Experienced
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 45.800 € Gross/Year
- Location
- Graz
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop production-ready agents for clinical applications, optimize their performance and quality, and implement evaluation infrastructures in a regulated healthcare environment.
Job Technologies
Your role in the 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.
- Optimize cost and latency.
- Treat cost-per-task as a first-class metric.
- Apply model routing/selection, caching, token budgeting, batching, and prompt efficiency.
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Our expectations of you
Education
- A degree in computer science, software engineering, or a related field.
Qualifications
- 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 languages.
- Healthcare/clinical software and data exposure.
- Starke Grundlagen in Statistik und Wahrscheinlichkeitstheorie.
- 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.
- Vertrautheit mit Guardrail- und Sicherheitsrahmen für LLM-Anwendungen.
- Proficiency in Italian language.
Experience
- 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.
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What we offer
- 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.
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Benefits
Health, Fitness & Fun
More net
- 🚂Climate Ticket
- 📱Company Phone for Private Use
- 👴🏻Company Retirement Provision
- 👷♂️Additional Insurance
- 🚎Public Transport Allowance
Work-Life-Integration
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Topics that you deal with on the job
Job Locations
This is your employer
Dedalus HealthCare GesmbH
Wien
Dedalus is committed to becoming one of the global leaders in healthcare information technology, with a particular focus on hospital information systems (ORBIS), radiology IT (ORBIS RIS/IMPAX EE), cardiac care IT, ECM/DMS (HYDMedia), business intelligence (TIP HCe), and integrated care.
Description
- Company Size
- 250+ Employees
- Founding year
- 1982
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Healthcare, Social Sector, Internet, IT, Telecommunication
AI Engineer - Healthcare IT
- Salary
- from 45.800 € Gross/YearNet salary converted from the gross salary in the job ad.from 33.095 € net/Year
- Location
- Graz
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
