Stellenbeschreibung:

You will make an impact in the following way:


• Design, develop, and deploy generative AI-powered features, supporting use cases in operation of industrial networks and OT data Operations
• Collaborate with cross-functional teams such as R&D, Technology, Tech Support to integrate GenAI capabilities into cloud, edge, and hybrid environments
• Build and maintain scalable, secure, and privacy-compliant AI pipelines for ingesting and processing network telemetry, user interactions, and knoledge-bases
• Develop and fine-tune LLM-based agents for domain-specific tasks
• Contribute to the architecture and implementation of the agent registery, chat orchestration, and session management
• Support the creation of knowledge base articles and ticket automation using AI-generated insights
• Participate in the full software development lifecycle, including CI/CD, testing, deployment, and monitoring in AWS environments



What you will bring:


• Education – Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field
• Experience – At least 2 years of professional experience in software development in AI/ML or GenAI projects
• Knowledge & skills – Proficient in Python and Java with experience building production-grade AI/ML systems using LLMs and GenAI frameworks (e.g., LangChain, Hugging Face, OpenAI), deploying on AWS (Bedrock, Lambda, S3, CloudFormation), working with data lakehouse architectures (e.g., Apache Iceberg), time-series data, and applying MLOps/DevOps practices (CI/CD, IaC) and secure software development principles
• Personality – You enjoy working collaboratively in interdisciplinary teams, actively contributing to shared goals while also taking initiative and ownership of tasks and responsibilities
• Language proficiency – Fluency in English as well as ability or willingness to work in German-speaking teams



Let’s Write the Next 100 Years Together.

Join a global community striving to improve connectivity and security. We offer you hybrid and remote work practices where feasible, flexible working hours, an employee stock purchase plan, parental leave benefits, paid leave for volunteer work in your community, multiple and frequent training opportunities, professional talent management and succession planning, corporate health and well-being initiatives and a work culture which includes commitment to diversity, equity, inclusion and sustainability.