Working across the full project lifecycle — from requirement definition and proof of concept, through production deployment, to inference cost monitoring and optimization. […]
Designing and implementing Retrieval-Augmented Generation (RAG) systems: building pipelines, retrievers, scoring mechanisms, and working with vector databases. […]
Integrating large language models (LLMs) with a variety of systems — APIs, databases, documents, knowledge graphs, and multimodal models. […]
Continuously developing both your own skills and those of the team through knowledge sharing, mentoring, and keeping up...