25 of 25 Remote/Hybrid Multi-Agent System Jobs in the UK

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 ...

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 ...

lead developer embedded within customer accounts, for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) Architect and code the connective tissue between Google’s AI products and customer's live infrastructure … unstructured data using both vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise AI solutions. Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and patterns (e.g., ReAct, self-reflection, hierarchical delegation). Knowledge ...

grade automations and agents used by internal teams and customers across Africa and beyond. You'll lead 3 engineers, design multi-agent systems, implement RAG pipelines, and drive the integration of AI into customer-facing products. This role is fully remote ...

Lead AI System Architect Department: 501 Product and Technology Employment Type: Full Time Location: Remote, United … Kingdom Description The AI System Architect leads the architecture of EIS's agentic AI platform — the design of multi-agent systems that automate insurance workflows end-to-end across Policy, Billing, and Claims domains. The role owns the patterns ...

demand production systems with measurable ROI, governance, and scale, and most stall in the gap between an impressive pilot and a system that survives production. EXL lives in that gap. We are accountable for outcomes on our clients’ data, in their environment, against their SLAs. This role … knowledge management, and workflow automation. Architect advanced retrieval using RAG, Agentic RAG, Graph RAG, knowledge-graph, and hybrid approaches. Design multi-agent systems with modern orchestration and reasoning architectures, including human-in-the-loop and autonomous frameworks. Define memory, context, planning ...

for 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 ...

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 ...

testing and debugging, while learning from top technologists through design sessions and peer code reviews. Furthermore, you'll benefit from a comprehensive support system: you'll join a cohort of new hires, embarking on a shared journey to master our company culture, tools, processes, and the technical proficiencies … house Gemini) Large Language Models (LLMs): Gemini, OpenAI, Claude, Llama, Local Models Frameworks: LangChain, LlamaIndex, Hugging Face Orchestration: LangGraph, Multi-Agent Systems Development Languages: Java, PythonFastAPI Retrieval-Augmented Generation (RAG): PostgreSQL, Vector DBs, Advanced Retrieval ML/DL Frameworks: PyTorch, TensorFlow ...

hands‐on technical leadership experience at Principal/Lead level. Strong expertise in Generative AI, LLMs, agentic architectures, and multi‐agent systems with proven production delivery in regulated environments (FS preferred). Proven experience building agentic solutions using Microsoft Copilot Studio ...

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 ...

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 ...

Vision We are building a next-generation system that reimagines banking workflows for our Corporate, Commercial, and Investment Bankers. Our vision is to empower them with a revolutionary Agentic AI Platform, featuring intelligent, autonomous agents that streamline processes, uncover new opportunities, and deepen client relationships—ultimately leading … Agentic Frameworks: Deep expertise in building production‐grade agentic systems using GCP as primary (ADK, Vertex AI) Multi‐Agent Systems: Hands‐on experience designing and implementing multi‐agent architectures (task decomposition, coordination ...

powered products used by real users. Examples of relevant experience include: LLM-powered applications Retrieval-Augmented Generation (RAG) Agentic workflows Multi-agent systems Tool calling and orchestration AI assistants Workflow automation Vector databases and semantic search AI evaluation and monitoring Real ...

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 ...

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 ...

System Architect to oversee the architecture of EIS's agentic AI platform, focusing on the design of multi-agent systems that automate insurance workflows end-to-end across various domains. The ideal candidate will lead AI DevOps, define autonomy ...

Generative AI and Agentic AI solutions while engaging stakeholders and shaping strategic AI initiatives. If you’re passionate about multi‐agent systems, advanced RAG pipelines, and delivering end‐to‐end AI solutions that create measurable business impact, this role offers both … deploy Generative AI and Agentic AI solutions through the full lifecycle from prototype to production Implement and optimize multi‐agent systems using frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or OpenAI Agents SDK Create orchestration patterns including planner/executor ...

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 ...

Agentic AI solutions, engaging stakeholders and shaping strategic AI initiatives. The role combines engineering leadership with technical consulting across multi-agent systems, RAG pipelines, and end-to-end AI delivery. You will lead delivery, ensure governance and data privacy, and contribute ...

ship agentic AI systems in production. You will work at the cutting edge of agentic and generative AI - designing multi-agent pipelines, integrating large language models and vision-language models into real workflows, and deploying them into secure and air-gapped … deployment in constrained environments where reliability and security matter more than speed to market. Key Responsibilities Architect, build, and optimise multi-agent AI systems using frameworks such as LangGraph, Haystack, or equivalent Integrate LLMs and vision-language models into agent ...

ship agentic AI systems in production. You will work at the cutting edge of agentic and generative AI - designing multi-agent pipelines, integrating large language models and vision-language models into real workflows, and deploying them into secure and air-gapped … deployment in constrained environments where reliability and security matter more than speed to market. Key Responsibilities Architect, build, and optimise multi-agent AI systems using frameworks such as LangGraph, Haystack, or equivalent Integrate LLMs and vision-language models into agent ...

Doing Design, build and deploy production-ready agentic AI solutions using Amazon Bedrock and the wider AWS ecosystem. Develop multi-agent architectures, orchestration frameworks and intelligent workflows that solve complex business challenges. Build and maintain Model Context Protocol (MCP) servers to enable … Skills Needed Proven experience delivering production-grade AI applications using Amazon Bedrock. Strong background designing and implementing agentic AI and multi-agent systems. Hands-on experience building or integrating MCP (Model Context Protocol) servers. Experience developing RAG architectures, knowledge bases and vector ...

agency and a certain passion for bending time. The Role We are running an engagement to design and build an AI agent system that manages a complex, high-value transaction workflow for a large enterprise client, from initial engagement through close-out, across … strong track record of designing and shipping production-grade systems, and recent hands-on experience architecting LLM or multi-agent systems. Agent Systems Expertise: Deep, hands-on experience with agent orchestration, tool ...