6 of 6 Remote/Hybrid Multi-Agent System Jobs in London

intelligent workflows for regulated use cases Develop automation-first AI pipelines for regulatory processes (e.g. monitoring, reporting, compliance checks) Implement multi-agent systems using modern orchestration frameworks (e.g. LangGraph or similar) Build and productionise machine learning models for classification, extraction, prediction … Exposure to computer vision or multimodal AI systems Knowledge of real-time data processing and streaming architectures Experience with multi-agent systems or intelligent agents in production Background in hybrid AI design (rules + ML + generative AI) What ...

integrating third-party data, research, or AI vendors. 15+ years in investment management workflows. Knowledge of advanced RAG and multi-agent systems. Relevant certifications (Databricks GenAI, SnowPro GenAI, AWS ML). CFA charterholder or active candidate. ...

for insurance clients, including: LLM-powered applications for claims handling, underwriting support, policy servicing, document processing and customer operations Multi-agent architectures for insurance workflows, including triage, decision support, escalation, delegation and human-in-the-loop controls Retrieval and vector-based … applied data engineering Strong hands-on experience with LLMs, embeddings, RAG pipelines and vector databases Experience designing or implementing multi-agent systems or tool-calling frameworks Strong Python skills with experience building production-grade, regulated systems Experience with at least ...

frameworks. • Understanding of AI lifecycle: prompt engineering, agent workflows, deployment, and monitoring. • Familiarity with LLMs and multi-agent systems. About Us: Ascendion is a leading provider of AI-first software engineering services. Our applied AI, software engineering, cloud ...

building the next generation of autonomous AI for Client Services. This isn't another LLM wrapper. Our client is designing multi-agent systems that genuinely operate inside complex enterprise organizations, understand rich context, and take real-world action. With a freshly … environment where your early architectural decisions will define the product for the next 3–5 years. Core technical hurdles include: Multi-Agent Orchestration: Designing a "Master Agent" to route tasks to specialized sub-agents. Persistent Memory: Engineering systems ...

Github Copilot Coding Agents or similar) Desirable: Experience with prompt engineering, Retrieval-Augmented Generation (RAG), and graph databases Familiarity with multi-agent LLM systems and agentic platforms (e.g., AutoGen, CrewAI), and experience deploying LLM-based applications Experience with tools such … Success Metrics Deploy secure, scalable, and maintainable full-stack systems and LLM applications that deliver measurable business value Maintain low latency, high system uptime, and strong performance across APIs and AI services Drive fast, iterative collaboration across product, design, and engineering teams Continuously improve the platform through ...