We are looking for an experienced, self-driven, and team-oriented Systems Engineer to strengthen our internal AI foundations platform, Apollo. The goal of Apollo is to facilitate the development of LLM- and Agentic AI applications. You will work as a member of the Apollo team to further expand this internal platform.Tasks And Responsibilities
Design, build, and support a highly available LLM and Agentic AI platform for Boehringer Ingelheim's Apollo platform.Collaborate closely with the Apollo Product Owner and the architecture and engineering team members.Support different product lines of Apollo, such as the enterprise LLM API and a low-code/no-code agent development platform.Monitor and fix platform availability and performance issues and implement high availability and disaster recovery solutions to maximize platform uptime during outages.Requirements
Master's degree in computer science, software engineering, or a related field, or a bachelor's degree with practical experience.Several years of professional experience in an international IT environment.Comprehensive knowledge of Docker, Kubernetes (OpenShift), and DevOps tools like Jenkins, Helm, Git.Strong experience in building and maintaining API-based systems.Professional coding experience in Python.Experience with application monitoring protocols/frameworks like Opentelemetry, Prometheus, or Dynatrace.Experience in enterprise DevOps and familiarity with the LLM/Agentic AI ecosystem (e.G., Huggingface, Azure OpenAI, AWS Bedrock, LangChain, LiteLLM, Argilla, DeepEval, Qdrant).Working experience in pharmaceuticals or similar industries is a plus.Excellent communication and presentation skills in English;
German is a plus.We offer flexible working conditions, life and accident insurance, health insurance, and investment in your learning and development. If you're interested, don't hesitate to apply and tell us more about yourself!
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