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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