4 of 4 Semantic Search Jobs in Central London

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 ...