26 to 50 of 155 Multi-Agent System Jobs in the UK

like Prometheus, Grafana or DatadogExperience with distributed systems, scaling, and both SQL and NoSQL datastoresAgentic workflow experience (autonomous or multi-agent systems) is a plus, and this AI Engineer role suits someone fluent in English to C2 levelBenefits: Real ownership ...

regulatory considerations into scalable, production-ready AI architectures. Design and implement advanced GenAI solutions, including: Retrieval-Augmented Generation (RAG) Multi-Agent Systems Knowledge Management Platforms Enterprise Workflow Automation Define architecture patterns, governance standards, security controls, and best practices for enterprise ...

Technical Builder who designs, constructs, and deploys enterprise-grade agentic AI solutions directly inside customer environments. AFO powers the multi-agent orchestration layer, transforming messy operational workflows, unstructured data (emails, PDFs, spec sheets), and legacy ERP logs into autonomous execution engines with … broader enterprise technology landscape. You will write production code, architect real-time data grounding systems, perform prompt engineering, manage multi-agent communication protocols, and deploy automated supply chain and back-office workflows into production from day one. What You'll Actually ...

using data, CCaaS platforms and AI to create seamless and consistent experiences Contribute to building and delivery of RAG pipelines, multi-agent orchestration and eval frameworks for enterprise-scale AI deployments Be a technical advisor Support client teams on AI architecture decisions … background 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 ...

ownership from architecture and prototyping through to deployment, monitoring and continuous evaluation. Key responsibilities: Design and deliver production GenAI and multi-agent systems Build agentic workflows, RAG solutions, tool use and multi-step orchestration Define evaluation strategies … CrewAI or similar Experience with AWS, particularly Bedrock, Lambda, ECS, EKS or SageMaker Strong understanding of RAG, agentic AI and multi-agent architectures Experience with CI/CD, cloud infrastructure and application deployment Comfortable working directly with clients and senior stakeholders Experience ...

ownership from architecture and prototyping through to deployment, monitoring and continuous evaluation. Key responsibilities: Design and deliver production GenAI and multi-agent systems Build agentic workflows, RAG solutions, tool use and multi-step orchestration Define evaluation strategies … CrewAI or similar Experience with AWS, particularly Bedrock, Lambda, ECS, EKS or SageMaker Strong understanding of RAG, agentic AI and multi-agent architectures Experience with CI/CD, cloud infrastructure and application deployment Comfortable working directly with clients and senior stakeholders Experience ...

influence architecture decisions and work effectively across multidisciplinary teams Preferred Qualifications, Capabilities, and Skills Experience designing or operating multi‐agent systems, agent orchestration frameworks, workflow automation platforms, or tool‐augmented LLM applications Experience with context engineering techniques ...

output and productivity. Identify bottlenecks, repetitive work and opportunities where technology could fundamentally change how the work gets done. Multi-Agent Development: Design and deploy multi-agent systems where distinct AI personas collaborate … video/audio APIs, social publishing APIs, creative tools and platforms, and logistics trackers. Guardrails & Reliability: Design robust human checkpoints. Ensure the AI system fails gracefully, asks for human clarification when unsure, and, for example, never hallucinates brand guidelines or publishes without approval. Data & Infrastructure: Implement data retention ...

Responsibilities: Architect, develop, and productionize autonomous and assistive AI agents to enhance operations. Design multi-agent systems, including role definition, tool integration, planning, memory, and workflow orchestration using modern agent frameworks. Implement Retrieval-Augmented Generation (RAG) pipelines … create scalable, safe, and reliable agentic solutions that transform how we work. We value your expertise in building multi‐agent systems and your passion for collaborating across teams. At our company, you can grow your career, expand your skills, and make ...

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 ...

leadership and architectural direction to our AI engineering team. In this role, you will be responsible for designing high-performance multi-agent systems, establishing robust evaluation standards, and mentoring other engineers to build production-grade, LLM-backed applications. Requirements 5+ years … Reduction: Designing deterministic verification loops for enterprise outputs to guarantee factual reliability. Latency Optimization: Cutting round-trip time across complex, multi-agent workflows to achieve real-time responsiveness. Governance Automation: Building “Policy Agents” that turn static regulatory policies into real-time, automated ...

leadership and architectural direction to our AI engineering team. In this role, you will be responsible for designing high-performance multi-agent systems, establishing robust evaluation standards, and mentoring other engineers to build production-grade, LLM-backed applications. Requirements 5+ years … Reduction: Designing deterministic verification loops for enterprise outputs to guarantee factual reliability. Latency Optimization: Cutting round-trip time across complex, multi-agent workflows to achieve real-time responsiveness. Governance Automation: Building “Policy Agents” that turn static regulatory policies into real-time, automated ...

learn. Experience with frameworks like Crew AI, OpenAI Agent SDK, or Langgraph tool set for orchestrating multi-agent systems is highly valued. You will be a key player in our AI team, responsible for driving the technical … models. Experience in building agentic applications or workflows, demonstrating an understanding of concepts like planning, memory, tool usage, and multi-agent systems. Familiarity with AI workflow orchestration and agentic frameworks (e.g., LangChain, LangGraph, Crew AI, Haystack, or similar). Practical experience with ...

pair programming, code review, and design feedback. Raise the engineering bar across the team by promoting good practices in testing, observability, and AI system reliability. Influence cross-team decisions on how AI capabilities integrate with the rest of the Elliptic platform. What you will achieve in the first … workflow. Bonus points for: Experience with retrieval-augmented generation (RAG) and vector databases (pgvector, Pinecone, or similar). Experience designing multi-agent systems and agent orchestration patterns. Familiarity with LLM observability tools (LangSmith, Langfuse, Arize, or similar ...

Technical Skills Required Senior Python engineer with strong production software engineering experience. Commercial experience building LLM, agentic AI or multi-agent systems. Hands‐on experience with LangGraph, LangChain, Haystack or similar frameworks. Proven ability to deploy AI/ML systems into ...

Integration: Operationalise Large Language Models (e.g., GPT, Llama, Mistral) and NLP workflows (BERT, topic modelling) for production environments. Agentic & Multi-Agent Systems: Design and orchestrate autonomous agentic workflows (using frameworks like LangChain, AutoGen, or CrewAI) that can reason, plan, and execute ...

Integration: Operationalise Large Language Models (e.g., GPT, Llama, Mistral) and NLP workflows (BERT, topic modelling) for production environments. Agentic & Multi-Agent Systems: Design and orchestrate autonomous agentic workflows (using frameworks like LangChain, AutoGen, or CrewAI) that can reason, plan, and execute ...

including the ability to influence architecture decisions and work effectively across multidisciplinary teamsPreferred Qualifications, Capabilities, and SkillsExperience designing or operating multi-agent systems, agent orchestration frameworks, workflow automation platforms, or tool-augmented LLM applicationsExperience with context engineering ...

influence architecture decisions and work effectively across multidisciplinary teams Preferred Qualifications, Capabilities, and Skills Experience designing or operating multi‐agent systems, agent orchestration frameworks, workflow automation platforms, or tool‐augmented LLM applications Experience with context engineering techniques ...

AWS. This role sits at the intersection of AI engineering and cloud architecture, owning the end-to-end implementation of multi-agent pipelines, knowledge bases, and orchestration frameworks using Amazon Bedrock and its surrounding ecosystem. The right candidate has shipped real … space that often lacks it. Key Responsibilities Design and implement production agentic AI systems on Amazon Bedrock, including multi-agent orchestration, memory management, and tool integration using Amazon Bedrock AgentCore and Strands Agents Build, integrate, and maintain MCP (Model Context Protocol ...

Design and build ML/LLM solutions for data ingestion, knowledge extraction, retrieval, and reasoning; Create datasets, metrics, and pipelines that drive measurable system improvements; Architect and improve agents for context retrieval, knowledge extraction, and data alignment, including prompt engineering, model selection, and inference optimization; Establish MLOps practices … startup experience, strategic thinking about product-led AI, background in code analysis, developer tools or software engineering research, experience with multi-agent systems or complex agentic workflows, contributions to relevant open-source projects or publications. Условия Competitive salary and JetBrains benefits ...

your domain and across the broader AI architecture — ensuring cohesion across the full system. This includes architecting AI agents encompassing multi-agent orchestration, tool use, skills use, and memory systems, as well as the integration of fine-tuned foundation models … process, evaluating build-vs-buy decisions for AI platforms (e.g., Arize, LangSmith) and foundational models. Architect model- and tool-agnostic multi-agent systems governed by an MCP Control Plane. Design and implement the Agent Registry ...

analyses and follow-up actionsIdentify recurring operational issues and automate remediation to improve platform stability and developer experienceBuild and maintain multi-agent systems with strong orchestration, including planning, coordination, tool-calling, state and memory management, and workflow control where appropriateDrives team … secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Required qualifications, capabilities, and skillsHands-on experience with system design, application development, testing, and operational stability in production environmentsAdvanced proficiency in Python for building production-grade services and toolingProficiency with automation and continuous ...

NeMo Knowledge of financial services NLP applications Experience designing evaluation methodologies for LLM outputs Experience building intelligent agents or multi-agent systems Skills and mindset Strong analytical problem-solving skills Ability to design scalable, production-ready AI systems Clear communication ...

spin. A few bonus points if you have... We'd also be interested in experience with: Agentic AI development, multi‐agent systems or orchestration frameworks such as LangGraph or Strands Agents. Amazon Bedrock AgentCore. LLM evaluation and observability tools. Building ...