Senior AI Engineer – Berlin (On-Site)
Tasks
- Build robust RAG pipelines
- Build scalable LLM-based systems
- Collaborate with product data and domain experts
- Design and ship production-grade AI systems
- Develop patient facing insight and report systems
- Drive evaluation and quality for LLM outputs
- Optimize AI performance and scale
- Own AI features end-to-end
Perks/Benefits
Skills/Tech-stack
AWS | Agent Frameworks | Agent systems | Azure | CI/CD | Docker | Embeddings | Evaluation | GCP | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | Multi-Agent | Multi-Agent Systems | Prompt engineering | Python | Retrieval-Augmented Generation | Structured outputs | Testing | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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