Related skills
python kubernetes fastapi llms rag📋 Description
- Design and build production-grade LLM features
- Develop agentic workflows coordinating AI components
- Implement RAG with embeddings and vector search
- Build prompting, context engineering, and tool usage
- Develop evaluation frameworks for LLM and agent performance
- Improve reliability, latency, and cost efficiency of AI pipelines
🎯 Requirements
- Python proficiency; production-grade code
- Experience with LLMs: training/finetuning/post-training
- Build/operate LLM inference services in production
- Embeddings, vector databases, semantic search
- Practical experience implementing RAG architectures
- Production-grade ML systems with pipelines, CI/CD, monitoring
🎁 Benefits
- Hybrid work environment in Copenhagen office
- Equipment provided by Corti
- Opportunity to work on healthcare AI at scale
- Inclusive, diverse team culture
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