4 of 4 Retrieval-Augmented Generation Jobs in East London

pipelines and structured reasoning. GenAI Application Engineering Integrate LLMs into applications usingLangChain,LlamaIndex,Haystack,AutoGen and OpenAIs Assistant API patterns. Build high-performance RAG pipelines using: hybrid search, reranking, embedding optimization, chunking strategies and evaluation harnesses. Develop APIs, microservices and serverless workflows for scalable deployment. ML/LLM Engineering ...

where users can query information directly through an integrated AI assistant. The Challenges You’ll Work On Evaluating a retrieval-augmented-generation (RAG) system in production without labelled data Designing your own benchmarks from scratch Building an agentic retrieval pipeline that adapts ...

What We're Looking For Must-Haves: 4+ years experience writing production ready code for machine learning systems 2+ years experience developing conversational AI, RAG, agentic systems or LLM-based products Familiarity with RAG orchestration frameworks such as LangChain or LlamaIndex.2+ Experience with production optimisation for RAG systems, including latency ...

Energy company is hiring a Data Scientist. Hybrid position. Paying up to £600 per day Experience and skills required for the Data Scientist, LLM, RAG, Machine Learning Development experience in one or more object-oriented programming languages (e.g. Python, Java). Thorough understanding of underlying mathematical foundations of statistics … designing, planning, prototyping, productionizing, maintaining, and documenting reliable and scalable data science products in complex environments. Applied knowledge of data science tools (LLMs/RAG etc.) and approaches across all data lifecycle stages. Advanced SQL knowledge. Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining ...