7 of 7 Permanent Multi-Agent System Jobs in Central London

risk in financial terms (£X exposure), map behaviours to regulatory requirements, and detect cascade failures before they propagate through multi-agent systems • Protocol Integration : Implement monitoring for agent communication protocols (Model Context Protocol, Agent2Agent, Agent … through first principles • You communicate technical concepts clearly to non-technical stakeholders Highly Valued (Differentiated Candidates) • Publications or research in multi-agent systems, reinforcement learning, AI safety, or agent architectures • Experience at AI labs (Anthropic, OpenAI, DeepMind ...

deeper understanding of our customers' needs and enable you to contribute meaningfully to the core product, including engineering multi-agent system, ML model serving, and more. You'll significantly boost your career prospects by working with a team extremely skilled … related product features. • Product Development: leverage your forward deployment experience to improve the Plexe platform, including distributed ML infra, multi-agent systems, observability, client-facing APIs, and more. • Cross-Functional Collaboration: work closely with founders to translate business vision and customer ...

production-grade AI systems for external clients, including: LLM applications using modern orchestration patterns, prompt frameworks and evaluation loops Multi-agent architectures, including planning, delegation, safety constraints and monitoring Retrieval and vector-based systems, embeddings, structured reasoning and semantic workflows … applied data engineering Strong hands-on experience with LLMs, embeddings, RAG, retrieval stacks and vector databases Experience designing or implementing multi-agent systems or tool-calling frameworks Strong Python skills with experience building production-grade systems Experience working across ...

ship production systems. You will own core parts of the AI agent infrastructure, including multi agent systems, RAG pipelines, and evaluation frameworks. The work is hands on and production focused, covering backend services, AI infrastructure, and delivery ...

design and build production-grade AI systems across: LLM applications using modern orchestration patterns, prompt frameworks, and evaluation loops. Multi-agent architectures , including planning, delegation, safety constraints, and monitoring. Retrieval & vector-based systems , embeddings, structured reasoning, and semantic workflows. Ontology … engineering, or applied data engineering. Strong experience with LLMs, embeddings, RAG, retrieval stacks, and vector stores. Hands-on experience in multi-agent systems, agent orchestration, or MCP-like tool patterns. Proficiency in Python, including ability to build ...

Learning) to translate cutting-edge research into enterprise-scale production features. Key Responsibilities Scale Agentic Architectures : Advance existing workflows into multi-agent systems capable of autonomous reasoning, state management, and self-correction. Model Development & Fine-Tuning : Lead the full lifecycle, from … model fine-tuning. Advanced Feature Engineering : Build pipelines that leverage LLMs to extract latent product attributes and consumer intent signals from unstructured data. System Observability & Reliability : Implement evaluation frameworks to monitor model performance, hallucination rates, and direct business impact. Technical Leadership : Influence our technical stack and help define ...

engineering early on. Strong communication skills and ability to guide product–engineering discussions. Nice to Haves Experience building agentic workflows, multi-agent systems, or autonomous LLM tools. Fintech domain exposure (not essential). This position do not provide visa sponsorship ...