4 of 4 Multi-Agent System Jobs in Central London

doing You’ll take ownership of core parts of the agentic AI stack end-to-end, including: Designing and deploying multi-agent systems Building and scaling RAG-based architectures Developing evaluation frameworks focused on performance, reliability, and safety Delivering AI-powered ...

What You’ll Be Doing Designing end-to-end AI architectures (RAG, agentic workflows, AI-powered applications) Leading architecture across multi-agent systems and advanced GenAI platforms Building scalable, secure solutions on AWS Defining LLMOps, evaluation frameworks, and AI governance Working ...

Build a scalable semantic layer —the single source of truth for people and AI AI in action: Create and orchestrate multi-agent systems that automate workflows and generate insights instantly Commercial impact: Equip teams across Sales, Strategy, and Revenue with real ...

Agentic AI frameworks and concepts (e.g., AutoGen, CrewAI, LangGraph, OpenClaw, NemoClaw, agent planning, tool use integration, multi-agent collaboration). AI Architecture: Deep understanding of AI/ML system architecture patterns, including microservices, event-driven architectures … patterns specific to RAG (Retrieval-Augmented Generation), Graph RAG, Agentic RAG, and multi-agent systems. Data: Knowledge of industry approaches to data engines and data labeling like Scale.ai and Mercor. Experience with auto data-labelling and synthetic data generation techniques ...