26 to 50 of 105 Multi-Agent System Jobs in London

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 ...

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 ...

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 ...

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 ...

practices, shaping the future of payments technology. Job Responsibilities: Set technical direction and reference architecture for B2B agentic commerce, including multi-agent topology and agent-to-agent communication Design information barriers and authorization … stability Show advanced proficiency in one or more programming languages, with Python required Architect and ship production LLM agents or multi-agent systems Design end-to-end ML platforms or MLOps pipelines Exhibit expertise in secure distributed systems, including identity ...

will own and drive large portions of our AI agent infrastructure , from designing and deploying multi-agent systems to integrating Retrieval-Augmented Generation (RAG) pipelines , and evaluation frameworks . You will be responsible for delivering AI-powered … performance, and security across the stack. Develop and deploy AI-powered features in production , including RAG (Retrieval-Augmented Generation) systems, multi-agent infrastructure, and evaluation frameworks (Evals) . Create data pipelines for AI model training, evaluation, and continuous improvement. Mentor junior ...

Generative AI and Agentic AI architectures Architecting production-grade LLM applications and AI platforms Designing agentic workflows, orchestration and multi-agent systems Leading technical discovery and architecture discussions with enterprise clients Making key decisions around models, frameworks, infrastructure and deployment Remaining … Strong Python and modern AI/ML engineering knowledge Experience with major cloud platforms such as AWS, Azure or GCP Strong architecture and system-design capability Experience communicating complex technical concepts to senior stakeholders Previous technical leadership at Principal, Lead, Staff or Architect level Package ...

operations Building and integrating LLM, Generative AI and RAG solutions Developing AI assistants, copilots and agentic AI workflows Experimenting with multi-agent orchestration and knowledge retrieval Developing AI solutions using Python and modern AI frameworks Working with vector databases and retrieval technologies …/API development LLMs and Generative AI RAG implementation Prompt engineering and optimisation AI assistants/copilots Agentic AI or multi-agent systems Python development Vector databases and knowledge retrieval AI evaluation and model testing API integration and secure software engineering ...

building intelligent, customer-facing AI agents. In this role, you'll leverage cutting-edge technologies, from large language models to multi-agent orchestration framework, to create high-impact AI solutions that directly interact with users. You'll also embrace the power … Nice to Have: Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience developing multi-agent systems or autonomous reasoning workflows. Familiarity with front-end tools like React or Next.js for end-to-end integration. ...

extraction, classification, ranking, search, recommendation, data quality, knowledge graph enrichment, predictive analytics, LLM-based systems, Gen AI Agents, Multi Agent systems and RAG where relevant. You will work closely with product, engineering, content, domain experts, and business stakeholders to deliver ...

environment. Experience in Python or a similar coding language. Experience developing AI/GenAI solutions utilizing AI tools, or designing multi-agent workflows or RAG systems. Preferred qualifications: Master’s or PhD in AI, Computer Science, or a related technical field. Experience … designing end-to-end secure, observable multi-agent systems using complex design patterns (e.g., ReAct, self-reflection), state management, and tool-calling protocols. Experience designing intuitive interfaces for complex AI and agentic systems, prioritizing context engineering, transparency, and explainability ...

databases, prompt engineering, and the latest API releases Someone who can go from "here's a new model" to "here's a production system" without hand-holding Experienced in building with OpenAI, Anthropic, Gemini, and open-source models Comfortable implementing everything from simple ChatGPT integrations to complex agentic … that lightly. What You Will DO Design and build production AI systems that solve real problems Implement RAG pipelines, multi-agent systems, and LLM-powered features Optimize for cost, latency, and accuracy across different AI services Create robust evaluation frameworks ...

access, semantic and hybrid retrieval, structured-data querying, internal APIs, and knowledge graphs. Design, implement, and evaluate agentic workflows and multi-agent systems that effectively balance exploration and exploitation, accuracy and latency, and autonomy and control. Define evaluation frameworks and metrics ...

intersection of deep engineering and go-to-market strategy—translating transformative AI capabilities (such as multimodal foundation models, multi-agent reasoning, and advanced retrieval) into concrete, high-ROI business solutions. In this role, you will lead technical strategy across Applied AI agents … enterprise workloads—spanning front-office customer journeys (GECX, omnichannel voice/chat), agentic commerce/shopping, back-office automation, multi-agent systems, and intelligent enterprise/product search. Guide customers in defining reasoning loops, tool/API execution, dynamic SOP retrieval ...

intersection of deep engineering and go-to-market strategy-translating transformative AI capabilities (such as multimodal foundation models, multi-agent reasoning, and advanced retrieval) into concrete, high-ROI business solutions. In this role, you will lead technical strategy across Applied AI agents … enterprise workloads-spanning front-office customer journeys (GECX, omnichannel voice/chat), agentic commerce/shopping, back-office automation, multi-agent systems, and intelligent enterprise/product search. Guide customers in defining reasoning loops, tool/API execution, dynamic SOP retrieval ...

shared belief that exceptional people are the foundation of everything great we'll build. The Role We're building a learning system that teaches AI agents how enterprises actually work. Our system ingests knowledge bases, conversations, tickets, and system logs, then produces written instructions … want to work directly with our enterprise customers. Whether you've scaled LLM workflows handling millions of requests, built multi-agent systems in production, or designed evaluation frameworks for enterprise deployments, we want people who bring intensity and self-direction ...

validation and governance Practitioner-level agentic AI skills: a demonstrated track record of building, deploying and evaluating AI agents and multi-agent systems, including tool use, orchestration and state management using modern agent frameworks Strong, practical knowledge ...

Spark, or similar cloud-based data platforms. Ability to influence senior stakeholders and lead technical strategy Desirable Experience Experience building multi-agent AI systems and orchestration frameworks. Background within insurance, financial services, or other highly regulated environments. MSc, PhD, or equivalent ...

Описание Deloitte Operations is engaging with one of its clients. Задачи Build AI agents and multi-agent systems Fine-tune LLMs for smarter agents Evaluate a multi-agent pipeline using ...

access, semantic and hybrid retrieval, structured-data querying, internal APIs, and knowledge graphs. Design, implement, and evaluate agentic workflows and multi-agent systems that effectively balance exploration and exploitation, accuracy and latency, and autonomy and control. Define evaluation frameworks and metrics … have a track record of building autonomous systems that drive deep dive investigations into a topic – orchestrating multi-agent workflows, integrating diverse data sources, and building self‐correcting evaluation loops that aren't afraid to test hypotheses and fail gracefully. Hands ...

other engineers on the team adopt, whether that is an architectural pattern, an eval practice, or an approach to failure handling under partial system failure. Partner with SWE and MLE peers on the same roadmap, and coordinate with AIS's other workstreams (orchestration, evaluation and oversight, systems … have Experience scaling products at hyper growth startups Experience with agent orchestration frameworks and multi-agent systems in production. Contributions to open-source agentic AI projects. ***PLEASE NOTE:Our policy requires a 90-day waiting period before ...