2 of 2 LLM Jobs in Wetherby

at scale. RAG & vector search: Design, implement and iterate retrieval pipelines (chunking, embeddings, hybrid search, ranking, feedback loops). Own pgvector/Vector DB schemas, latency, relevance and cost. LLM integration: Integrate OpenAI/Bedrock models, prompt/response orchestration, tool use, guardrails, and evaluation. Data pipelines: Ingest and transform structured/unstructured data; design efficient schemas (Postgres/NoSQL … platform (ECS on AWS), with clear boundaries between ingestion, retrieval, reasoning and delivery. Quality & reliability: Testing (unit/integration/evals), CI/CD, observability (tracing/metrics for LLM and retrieval paths), and performance tuning. Collaboration: Work closely with Product and ELT; mentor engineers; contribute to technical strategy and research. Innovation: Research and recommend new tools, frameworks, and approaches … data. Excellent communication, problem-solving, and leadership skills. Nice to have Rerankers (e.g., cross-encoders), structured retrieval over SQL + vectors, query rewriting/expansion, or lightweight knowledge graphs. LLM/evals tooling (LangChain/LlamaIndex/OpenAI Evals) and feature telemetry for relevance/latency/cost dashboards. Experience in B2B data products or fintech. Get in touch! If More ❯

at scale. RAG & vector search: Design, implement and iterate retrieval pipelines (chunking, embeddings, hybrid search, ranking, feedback loops). Own pgvector/Vector DB schemas, latency, relevance and cost. LLM integration: Integrate OpenAI/Bedrock models, prompt/response orchestration, tool use, guardrails, and evaluation. Data pipelines: Ingest and transform structured/unstructured data; design efficient schemas (Postgres/NoSQL … platform (ECS on AWS), with clear boundaries between ingestion, retrieval, reasoning and delivery. Quality & reliability: Testing (unit/integration/evals), CI/CD, observability (tracing/metrics for LLM and retrieval paths), and performance tuning. Collaboration: Work closely with Product and ELT; mentor engineers; contribute to technical strategy and research. Innovation: Research and recommend new tools, frameworks, and approaches … data. Excellent communication, problem-solving, and leadership skills. Nice to have Rerankers (e.g., cross-encoders), structured retrieval over SQL + vectors, query rewriting/expansion, or lightweight knowledge graphs. LLM/evals tooling (LangChain/LlamaIndex/OpenAI Evals) and feature telemetry for relevance/latency/cost dashboards. Experience in B2B data products or fintech. Get in touch! If More ❯