6 of 6 Semantic Search Jobs in London

Haystack, AutoGen, and OpenAI Assistant/Responses API patterns. Design and implement high-performance Retrieval-Augmented Generation (RAG) pipelines, including: Hybrid (keyword + vector) search Reranking and embedding optimization Chunking and document preprocessing strategies Evaluation and regression testing harnesses Develop APIs, microservices, and serverless GenAI workflows for scalable, secure … modern GenAI ecosystem. Deep understanding of LLM behavior, prompt optimization, embeddings, retrieval strategies, and data preparation workflows. Practical experience with vector databases and semantic search systems. Comfortable working in Linux environments with Bash/PowerShell, containers, and cloud infrastructure. Strong communication skills, creativity, and a systems-thinking mindset. ...

JSON; integrating LLM calls into applications/services using Python or C# (Node.js also acceptable). Working knowledge of embeddings, document chunking strategies, indexing, semantic search, and citation/grounding techniques. Experience with vector databases (e.g., Azure Cosmos DB vector search, Redis Enterprise, Pinecone) and reranking strategies. ...

applications and retrieval-augmented generation. Practical cloud-native experience, specifically with AWS (compute, storage, networking, IAM, KMS, observability). Experience with RAG-based semantic search and LLM inference workflows using OpenAI and Claude models. Expertise in modern SDLC and DevOps: CI/CD (e.g., Jenkins/GitLab), infrastructure ...

design and build backend systems that are performant, reliable, and maintainable. Database Expertise: Strong experience with PostgreSQL and familiarity with vector databases for semantic search and retrieval. Strong Problem-Solving Skills: Ability to debug complex systems, optimize for latency and cost, and navigate ambiguity. Proven Track Record: Demonstrable ...

optimise RAG (Retrieval Augmented Generation) pipelines Develop AI agents with tool integration and multi-step workflows Engineer scalable Python-based services and APIs Implement semantic search using vector databases Deploy and manage AI solutions within cloud environments (Azure preferred) Contribute to best practices across evaluation, monitoring and reliability ...

z2bz0 years of development experience. AI/ML Focus : Experience with Large Language Models ( LLMs ), agentic development, Vertex AI , and vector databases (semantic search). Additional Skills : Java, Kotlin, and Go are 'nice-to-have' but not mandatory. Randstad Technologies is acting as an Employment Business in relation ...