We are seeking an experienced Knowledge Engineer to design, implement, and scale state-of-the-art AI systems that combine large language models, advanced retrieval techniques, cognitive memory architectures, and data fusion. You will orchestrate robust data pipelines, architect scalable training data solutions, and build the foundational knowledge bases that power next-generation AI agents.

Responsibilities

• Design and optimise RAG workflows integrating local LLMs with retrieval mechanisms including vector search, Elasticsearch, FAISS, and Weaviate.
• Build and maintain scalable data pipelines for ingesting, transforming, indexing, and retrieving structured and unstructured data.
• Design services and tool specifications that LLMs and agents can leverage to orchestrate workflows.
• Manage training data operations including curation, versioning, and lineage tracking for LLM fine-tuning.
• Develop ontologies, knowledge graphs, ...