Job
- Level
- Experienced
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Temporary employment
- Location
- Aachen
- Working Model
- Onsite
Job Summary
In this role, you will develop unified AI gateways and optimize inference platforms on HPC systems while implementing standardized APIs and ensuring monitoring for AI models.
Job Technologies
Your role in the team
- The HPC group PRAM of the IT Center continuously develops its methodological expertise in high-performance computing and artificial intelligence on HPC systems in close collaboration with the Chair of Computer Science 12.
- The main tasks of this working group include both research and methodological support for users regarding questions related to program development, debugging, performance tuning, and parallelization.
- In addition, the group provides the necessary tools and resources for these tasks.
- Design and implementation of a unified AI gateway.
- Further development of a cross-site inference gateway that consolidates resources from different systems (HPC clusters, Kubernetes environments).
- Definition, implementation, and maintenance of standardized APIs/interfaces for unified access to inference backends.
- Configuration, deployment, and optimization of the execution of open-source or open-weight LLMs on high-performance computing (HPC) systems as well as in Kubernetes clusters.
- Adjustment of operational conditions (resource allocation, scaling, container images) to the respective hosting scenarios.
- Ensuring scalable load balancing, high resilience, and redundancy at both the gateway level and the local inference cluster.
- Further development and configuration of monitoring for the inference infrastructure and individual model instances (metrics, alerting, dashboarding).
- Design and execution of automated regression tests for AI models (performance, functionality, various modalities).
- Planning and overseeing load and penetration tests of the entire inference infrastructure to ensure security and robustness.
- Support in the design and implementation of agent-based processes (e.g., Retrieval-Augmented Generation) that utilize the provided AI models.
- Integration of inference resources into RAG setups as well as connection to Model-Context-Protocol (MCP) services for seamless orchestration.
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Our expectations of you
Education
- A successfully completed university degree (Master's or equivalent) in Computer Science, Natural Sciences, Engineering, or a comparable qualification.
Qualifications
- You have solid knowledge of scripting languages (e.g., Bash, Python) and object-oriented programming languages, preferably in C#/.NET.
- Good knowledge of German and English (spoken and written).
- Proficient handling of high-performance clusters and common schedulers (e.g., SLURM, PBS, LSF) for submitting and managing compute jobs.
- Knowledge in automated testing of AI models, including regression tests as well as load and penetration tests.
- Familiarity with observability tools such as Prometheus, Grafana, Loki, or similar stacks.
- Enthusiasm for parallelization, high-performance computing, and current application areas in the field of artificial intelligence and machine learning.
- You personally convince with your high motivation, commitment, and pronounced social competence.
- You enjoy working in a team, take responsibility, and actively contribute your ideas.
Experience
- You have extensive experience working with Linux systems, including shell scripting as well as package and service management.
- You have practical experience with container technologies and their orchestration, such as Docker, Docker Compose, and Kubernetes.
- Practical experience in executing AI models using inference platforms or frameworks (e.g., deployment of LLMs, model serving).
- Experience in designing microservice architectures and implementing REST or gRPC interfaces.
- Practical experience with Retrieval-Augmented Generation (RAG) and agentic AI workflows.
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What we offer
- The employment is carried out within an employment relationship.
- The position is to be filled as soon as possible and is limited until December 31, 2030.
- The fixed-term arrangement is governed by Section 14 (1) of the Part-Time and Fixed-Term Employment Act (TzBfG).
- This is a full-time position.
- The classification is based on the TV-L.
- The position is classified as EG 13.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
RWTH Aachen
The TIM institute for technology and innovation management (TIM) under the leadership of Professor Dr. David Antons, Prof. Dr. Frank Piller and Prof. Dr. Oliver Salge is a leading institution in research fields such as innovation and technology management and strategy. Currently, an interdisciplinary team of researchers from the fields of business economics, psychology, computer science and engineering is teaching and researching at the TIM institute in close cooperation with the engineering institutes of RWTH Aachen University.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Science, Research
DevOps / MLOps Engineer
- Location
- Aachen
- Working Model
- Onsite
- Diversity
- Open for all genders
