WERKSTUDENT / MASTERAND AGENTIC AI PLATFORM & DATA ENGINEERING (M/W/D)

Tasks

• Together with team members, you will develop the architecture and implementation of modern AI and data-driven platforms in the cloud – with the goal of providing scalable platforms and AI solutions.
• You will support our team in the development and optimization of AI agents – from testing and fine-tuning to prototyping AI applications.
• You actively contribute to building our knowledge about AI agents : researching current tools and methods.
• You follow current trends and technological developments (e.g., memory architectures, LLM integration, prompt engineering) and contribute your findings to further development. Experiment with new models and the use of innovative technologies.
• You automate infrastructure provisioning with tools like Terraform and create the foundation for reliable DevOps and CI/CD of AI workloads.
• You will help monitor the performance of AI systems and distributed data platforms .

Benefits

• FLEXIBLE WORKING HOURS
• HYBRID WORKING
• CORPORATE EVENTS
• CONTINUING EDUCATION
• An exciting student job that will be of great benefit to you both during your studies and for your future career , with the option of also writing your thesis with us.
• Good training and the opportunity to obtain technical certifications.
• Excellent compatibility of studies, Reply and private life thanks to flexible working time models.
• You can decide for yourself how much independence and responsibility you want to take on, the better you become.

Qualifications

• Either you have completed vocational training as an IT specialist and have already studied computer science for 3 semesters , or you have successfully completed a bachelor's degree and are starting your master's studies.
• Good programming skills (e.g. Python, Java or Javascript), initial experience with cloud platforms (AWS, Azure or GCP) and a basic understanding of cloud architectures (IaaS, PaaS, Serverless)
• Knowledge of how to use cloud databases such as Snowlake, Databricks , etc.
• Prior experience or strong interest in Infrastructure-as-Code (e.g., Terraform, Ansible) and in building scalable cloud infrastructures for AI and data-intensive workloads
• Basic knowledge of containerization and orchestration (Docker, Kubernetes) as well as a basic understanding of CI/CD, DevOps and MLOps principles in the context of cloud-based AI/ML systems.
• Analytical, structured approach and motivation to continuously optimize cloud and platform solutions and to evaluate new technologies in the AI ​​environment.
• Excellent communication skills to explain cloud and AI architectures in an understandable way and to design scalable, future-proof solutions.
• Very good German and good English skills

What do you bring with you – a thirst for knowledge, enthusiasm and the desire to be able to obtain great certifications right now?

Develop yourself and the digital future – at Reply!

Reply specializes in the design and implementation of solutions based on new communication channels and digital media. With a network of highly specialized companies, Reply defines and develops business models enabled by AI, big data, cloud computing, digital media, and the Internet of Things. Reply offers consulting, system integration, and digital services to companies in the telecommunications and media, industrial and service, banking and insurance, and public administration sectors.