Job
- Level
- Experienced
- Job Field
- IT, Data, System
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Hagen
- Working Model
- Onsite
Job Summary
In this role, you will develop AI platform components for education, oversee model serving, and optimize AI systems while collaborating with IT and various stakeholders.
Job Technologies
Your role in the team
- They develop and operate central AI platform components for studies and teaching.
- They are focused on current AI technologies to derive innovative solutions.
- You are responsible for model serving as well as the operation of AI inference services.
- They operate and configure API gateways for AI services (e.g., OpenAI-compatible interfaces).
- They deploy and operate containerized applications on OpenShift/Kubernetes.
- They implement routing, quota, and governance mechanisms for AI usage.
- They monitor and optimize AI systems based on metrics such as latency, token throughput, GPU utilization, and costs.
- They serve as an interface between IT, academia, and teaching.
- They network with state and federal initiatives in the field of AI operations, engage with the NRW AI community, and contribute to professional exchange.
- They document systems and actively contribute to knowledge transfer within the organization.
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Our expectations of you
Education
- You hold a successfully completed degree at least at Bachelor's level, ideally in the fields of Computer Science, Business Informatics, or Natural/Engineering Sciences.
Qualifications
- Basic understanding of MLOps concepts.
- Ideally, you already have knowledge of Learning Analytics or AI applications in the higher education sector.
- Proficient in spoken and written German and English.
- High quality awareness, structured working approach, and enjoyment of agile development.
- Strong communication skills and advisory expertise in dealing with various stakeholders.
- Willingness to actively engage in a dynamic university environment and to help shape technological trends.
- Team spirit, initiative, and a solution-oriented mindset.
Experience
- Solid knowledge in at least one of the following areas: AI/LLM inference stacks (e.g., vLLM, KServe, OpenShift AI), container platforms (OpenShift, Kubernetes), API management / API gateways (e.g., LiteLLM). Experience in operating distributed systems and platforms.
- Experience with GitOps.
- Experience in monitoring and operating production systems.
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What we offer
- An exciting role in the development of a strategically important future field (AI).
- Flexible working hours and home office options.
- A versatile, meaningful working environment at one of Germany's most modern digital universities.
- The opportunity to shape the future of education.
- A appreciative, collegial, and interdisciplinary team.
- Active support of your professional goals through training and development opportunities.
- Numerous benefits of the public service, such as an attractive occupational pension scheme (VBL) in employment, 30 days of vacation, an annual special payment, and a secure job even in times of crisis.
- Support for work-life balance (including emergency childcare for children and the possibility of part-time employment).
- A comprehensive range of health promotion services.
- A green campus with good parking facilities and excellent public transportation connections.
- Mensa and FernUni Café with a diverse and balanced selection.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
FernUniversität in Hagen
The FernUniversität in Hagen is certainly unique. For 40 years, it has been the state distance-learning university in the German-speaking world and thus offers an incomparable academic education for those who do not want or cannot enroll at a traditional university. With its comprehensive range of teaching and learning materials, it is the right choice for anyone seeking a full academic education.
Description
- Founding year
- 1974
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Education System
AI Engineer / AI Application Support Specialist
- Location
- Hagen
- Working Model
- Onsite
- Diversity
- Open for all genders
