Teams at Klue

Design and implement retrieval-augmented generation (RAG) systems and LLM-powered agent workflows. Build and optimize retrieval pipelines (BM25, dense/hybrid, re-ranking), vector DB integrations, evaluation frameworks, and data pipelines. Collaborate with Product to productionize models, optimize latency and scalability, implement CI/CD for ML, and experiment with query rewriting, summarization, and automated LLM evaluation.

Lead end-to-end win/loss/churn research programs: onboard customers, conduct high-signal interviews, analyze findings, and deliver actionable reports. Train and tune AI interviewers, improve workflows, partner with customers and CSMs to drive renewal and expansion, and scale research through AI while preserving human-led high-trust conversations.

Lead end-to-end design of a new AI product: craft polished, human-centric interfaces, ship code directly, collaborate with researchers and ML specialists, and use AI tools to accelerate outcomes and deliver customer value each sprint.