Research Engineer, Applied Ai

Research Engineer at kapa.ai focused on improving AI assistants for technical knowledge accessibility. Responsibilities include evaluating RAG systems, building benchmarks, developing agentic retrieval systems, and fine-tuning models. Requires a strong understanding of ML, deep learning, NLP, and experience with LLMs and data stores for search.

Skills and focus areas

• machine learning
• deep learning
• llms
• natural language processing
• training large language models
• fine-tuning large language models
• deploying large language models
• vector databases
• search indices
• data stores for search and retrieval
• evaluation systems for llms
• evaluation systems for search