13 of 13 Permanent Multi-Agent System Jobs in the UK excluding London

competing requests from multiple teams by applying a clear prioritisation framework you'll help develop and improve Design and ship multi-agent systems and production-grade automations that measurably improve how internal teams and customer-facing staff work Build RAG pipelines … wider organisation, including Software Engineering teams Technical Environment AI & Agentic Frameworks: Claude, Claude Code, Anthropic tooling, LangChain, LangGraph, MCP, multi-agent orchestration, Google ADK (or similar agentic tooling) Automation & Prototyping: Scripting, workflow tools, AI-assisted development, rapid prototyping (Vercel/Railway) Enterprise ...

products that solve genuine business problems rather than proof-of-concepts. Projects include: Enterprise AI Platforms Agentic AI AI Agents Multi-Agent Systems Voice AI Conversational AI AI Assistants Document Intelligence Intelligent Search Knowledge Management Enterprise Data Platforms Workflow Automation … following technologies. Enterprise AI Generative AI GenAI LLMs Large Language Models Foundation Models Agentic AI AI Agents Autonomous Agents Multi-Agent Systems RAG Retrieval Augmented Generation Prompt Engineering AI Evaluation AI Observability AI Governance Responsible AI AI Security Guardrails Model Context ...

Agentic AI & Automation Design and implement agent-based architectures Build autonomous and semi-autonomous workflows Develop multi-agent systems where appropriate Leverage modern orchestration frameworks to improve customer outcomes AI Infrastructure & Architecture Build scalable AI foundations … Python engineering capability Experience deploying AI products into real-world environments Experience with several of: LLM applications Agentic AI frameworks Multi-agent systems RAG architectures Vector databases AI orchestration platforms AI evaluation and observability tools Model optimisation and fine-tuning Mindset ...

leading financial services clients. You’ll work hands‐on across the full AI engineering lifecycle, from architecting intelligent multi‐agent systems to deploying scalable production‐grade AI applications within enterprise environments. As a senior consultant, you’ll also collaborate closely with ...

follow-up actions Identify recurring operational issues and automate remediation to improve platform stability and developer experience Build and maintain multi-agent systems with strong orchestration, including planning, coordination, tool-calling, state and memory management, and workflow control where appropriate Drives … coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Required qualifications, capabilities, and skills Hands-on experience with system design, application development, testing, and operational stability in production environments Advanced proficiency in Python for building production-grade services and tooling Proficiency with automation ...

Agentic AI solutions that address client challenges and create measurable business value. Lead the architecture and implementation of autonomous and multi-agent AI systems using hyperscaler AI platforms, with a strong preference for AWS-native services and patterns. Collaborate with business … experience strongly preferred (e.g., Bedrock, Lambda, Step Functions and related AI services). Hands-on experience implementing AI agents, multi-agent systems, intelligent workflow automation, RAG architectures and AI-powered assistants in enterprise environments. Strong knowledge of agentic frameworks and orchestration ...

Jobtailor is seeking a Technical Leader to design and scale agentic AI systems, drive enterprise-grade LLM deployment, and define engineering excellence in collaboration with architecture and product teams. The role focuses on mentoring ...

solve real-world problems using AI. Passion for emerging AI technologies and continuous learning. Desirable Experience RAG (Retrieval-Augmented Generation) Multi-Agent Systems Context Engineering AI Evaluation Frameworks Human-in-the-Loop Systems AI-Native Development Learning technologies or educational ...

client organizations. The difference between an AI Engineer and what we are looking for is straightforward: you have shipped a multi-agent system in production, you have owned the eval harness, and you know what happens when your agent … pathway to the Forward Deployed Engineer programme. Key Responsibilities Architect and govern production-grade agentic systems at enterprise scale: multi-agent orchestration across complex environments, RAG pipelines, policy-based routing, memory management, and programme-level lifecycle observability Define RAG pipeline standards ...

client organizations. The difference between an AI Engineer and what we are looking for is straightforward: you have shipped a multi-agent system in production, you have owned the eval harness, and you know what happens when your agent … pathway to the Forward Deployed Engineer programme. Key Responsibilities Architect and govern production-grade agentic systems at enterprise scale: multi-agent orchestration across complex environments, RAG pipelines, policy-based routing, memory management, and programme-level lifecycle observability Define RAG pipeline standards ...

delivery, scale the function, and define its future. You\'ll work with Claude, Claude Code, MCP, LangChain to implement multi-agent systems, RAG pipelines, and tooling. This is a hands-on leadership role with three engineers initially. The role is fully ...

establishing an \"Agentic Factory\" - a dedicated, high-velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi-agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design … teams across the organisation. Responsibilities Technical Leadership & Engineering Design Agentic Systems: Design and scale robust, secure, and production-ready multi-agent workflows, orchestrations, and advanced RAG architectures, in collaboration with Enterprise Architecture principles. Drive delivery by designing and building agentic solutions ...

follow‐ups Identify recurring operational issues and automate remediation to improve platform stability and developer experience Build and maintain multi‐agent systems with strong orchestration (planning, coordination, tool‐calling, state/memory, and workflow control) where appropriate Contribute to an inclusive … communities of practice Required Qualifications, Capabilities, and Skills Formal training, certification, or equivalent practical experience in software engineering concepts Hands‐on experience with system design, application development, testing, and operational stability in production environments Advanced proficiency in Python for building production‐grade services and tooling Proficiency with automation ...