76 to 100 of 105 Multi-Agent System Jobs in London

powered processes. You will own large portions of our AI agent infrastructure, designing and deploying multi-agent systems and RAG pipelines while delivering features at scale. Join a fast-growing fintech platform backed by top investors. ...

solutions for clients who want deeper understanding of how customers engage with their products and services Lead engineering teams across complex, multi‐system agentic programmes Set technical standards, quality frameworks and architecture governance Ensure systems are designed for scalability, observability and compliance Collaborate … experience in Python and similar languages across AI systems Proven track record of architecting and delivering RAG pipelines, multi‐agent systems or LLM‐based products at enterprise scale Deep hands‐on experience with at least one major cloud AI platform ...

roadmaps. Required Qualifications 3+ years of software engineering or technical delivery experience, with at least one production AI, data engineering, or enterprise integration system deployed to production. High proficiency in at least one modern language: Python, JavaScript/TypeScript, Java, or Apex. Hands‐on AI & Grounding Expertise: Deep … with LLM orchestration, prompt tuning, and building RAG pipelines, vector search indexes, and knowledge base retrievers for enterprise data. Multi‐Agent Systems & API Mastery: Practical experience with API design (REST/SOAP/webhooks) and modern agent ...

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 … engineering standards that scale across the practice and reduce ramp‐up time on new client engagements Own the measurement framework for agentic system quality: define accuracy, latency, safety, and cost metrics; present programme‐level AI impact in business terms to senior client stakeholders #LI‐EU Required Experience Extensive ...

clients who want deeper understanding of how customers engage with their products and services Contribute to engineering teams across complex, multi‐system agentic programmes Contribute to technical standards, quality frameworks and architecture governance Ensure systems are designed for scalability, observability and compliance Collaborate … with production experience in Python and similar languages across AI systems Experience building or contributing to RAG pipelines, multi‐agent systems or LLM‐based products, ideally at meaningful scale Hands‐on experience with at least one major cloud AI platform ...

deployment of secure, scalable, and reusable AI solutions using approved enterprise platforms and technologies. Build and integrate LLM, RAG, and multi-agent solutions using frameworks such as Semantic Kernel, LangChain, or similar. Develop and maintain AI-powered applications, APIs, and backend services. … experience developing AI-powered applications and services. Experience in backend development for AI applications and orchestration of LLMs or multi-agent systems. Experience with Azure OpenAI, Azure AI Foundry, AWS Bedrock, Vertex AI, or similar AI platforms. Experience in prompt engineering ...

high-value contracts, collaborating with our CTO to deliver production-grade AI for Fortune 500 procurement teams. You will design multi-agent systems, deploy LLM workflows, and connect AI agents to major procurement tools (SAP, Oracle, Coupa, GEP) while ensuring security ...

contribute to thought leadership in AI, machine learning, and data science. Technical Stack Core: Databricks (advanced ML capabilities) Strategic: Multi-agent systems Responsible AI frameworks Leadership: MLOps at scale AI governance AI strategy and roadmapping What You'll Bring: Hands ...

machine learning research. You'll be embedded in a cutting-edge team working on LLMs, RL, synthetic data, and multi-agent systems. This unusually research-heavy engineering role involves building robust infrastructure to support experiments and deploying production-quality code at scale. ...

orchestration frameworks, memory architectures, and tool-use capabilities. Developing custom AI workflows using large language models, retrieval systems, and multi-agent architectures. Collaborating closely with product and engineering teams to embed AI into real-world business processes. Contributing to the architecture … LangChain, Hugging Face, PyTorch, or similar technologies. Deep understanding of LLMs, RAG architectures, vector databases, prompt engineering, agentic AI, and multi-agent systems. Experience deploying, monitoring, and optimising AI solutions in production environments. A builder's mindset with a passion for solving ...

hiring for an elite team solving exactly that. They build agents that learn an enterprise's processes - ingesting knowledge bases, conversations, tickets and system logs, then producing instructions agents can execute, with confidence scoring that decides when to automate and when to hand back to a human. This … Able to explain your work to engineers and customers alike Bonus points for scaling LLM workflows to millions of requests, multi-agent systems in production, or building evaluation frameworks for enterprise deployments. The culture: small, deeply technical team, high hiring ...

agents and productionizing AI models on the NEO platform. You will own delivery, people, and technical direction, drive architecture across multi-agent systems, and oversee safety, risk, and governance within production environments. #J-18808-Ljbffr ...

collaborate with product and engineering teams to influence the roadmap. You will represent cutting-edge GenAI techniques, including RAG, multi-agent systems, and fine-tuning, while traveling to meet customers every 4–8 weeks as needed. #J-18808-Ljbffr ...

functions within client environments by enhancing their Power Platform capabilities. Responsibilities include designing solutions, articulating requirements, and developing multi-agent systems. The ideal candidate will have significant expertise in Copilot Studio, Power Automate, and software development, including languages like Python and JavaScript. ...

lived the compliance pain we're solving. Mihai (CTO & co‐founder) holds a PhD on decision‐making in multi‐agent systems and led research on safe, interactive planning for self‐driving cars. The team is ML and software engineers plus ...

doctor for preventive health — analyzing 110+ biomarkers, reasoning over clinical data, and delivering protocols that change how people age. The system works. Now we need to make it smarter, faster, and ready for millions of users. As our AI Engineer, you own the reasoning engine: the agents … close it. You could be responsible for AI agent architecture — design and ship the multi-agent system behind our AI doctor: reasoning, planning, tool use, clinical citation, and safe fallback behavior Retrieval & knowledge — vector infrastructure, embedding ...

Think Jam, a leading entertainment marketing agency, is seeking a hands‐on leader in AI architecture to transform how we design products, manage teams, and deliver for clients. You will translate business processes into autonomous ...

development of client-facing advisory services in a remote setting. This role is ideal for strategic practitioners eager to design multi-agent systems that drive client success. Your roadmap will involve building comprehensive training products and overseeing a team ...

directly, not manage from a distance. You’ll own Odyssey's research agenda across world simulation, multimodality, robotics, and multi‐agent systems, define and execute the vision that positions Odyssey as the leading voice in world models, and take responsibility ...

designing chat based experiences, copilots, assistants or conversational interfaces that help users complete tasks naturally and efficiently. AI agents & multi agent systems - Experience designing workflows involving AI agents, orchestration, task delegation or autonomous systems operating on behalf of users. Human ...

Research to lead the Frontier ML group. You will shape the research agenda across world simulation, multimodality, robotics, and multi-agent systems, and drive publication strategy and external reputation. You will report to the Co‐Founder/CTO and work with ...

that balance innovation with enterprise-grade reliability. You will design and build AI agent architectures - including multi-agent orchestration, tool use, skills use, and memory systems - and work hands-on with foundation models through fine-tuning, retrieval … practitioner Design and build AI agent architectures - including individual agents, their prompts, tools, and skills, multi-agent orchestration, and memory systems - making deliberate design pattern and technology choices Design and implement agent orchestration ...

that balance innovation with enterprise-grade reliability. You will design and build AI agent architectures — including multi-agent orchestration, tool use, skills use, and memory systems — and work hands-on with foundation models through fine-tuning, retrieval … practitioner Design and build AI agent architectures — including individual agents, their prompts, tools, and skills, multi-agent orchestration, and memory systems — making deliberate design pattern and technology choices Design and implement agent orchestration ...

clearance. Preferred qualifications: Master’s degree or PhD in AI, Computer Science, or a related technical field. Experience implementing multi‐agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self‐reflection, hierarchical delegation). Experience … Serve as the lead developer for complex AI applications, transitioning from rapid prototypes to production‐grade agentic workflows (e.g., multi‐agent systems, MCP servers) that drive measurable Return on Investment (ROI). Architect and code the connective tissue between the company ...

define Applied AI Engineering best practice across the business. You’ll be responsible for : leading the architecture and delivery of multi-agent AI systems for high-value business use cases. defining engineering standards across orchestration architectures, context engineering, MCP integration, memory … many of these areas: Delivering production AI or LLM-powered systems at enterprise scale. Expert-level Python engineering. Multi-agent architectures and orchestration frameworks. Context engineering, retrieval systems and memory architectures. MCP server and SKILL.md design and enterprise tooling integration. ...