7 of 7 Permanent Multi-Agent System Jobs in the City of London

spike or proof of concept. What You’ll Be Doing Agentic AI & LLM Engineering Agentic Workflow Design: Develop multi-agent systems using frameworks like LangGraph or CrewAI for autonomous research and automated coding. Advanced RAG & Memory: Build sophisticated Retrieval-Augmented Generation … experience. Software Development & Technical Leadership Design and implement complex, scalable, and secure applications. Develop the architecture and ensure adherence to best practices. Optimize system performance and troubleshoot critical issues. Write clean, efficient, and maintainable code in Python, Java, and other high-level languages. Advocate for automation, testing ...

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 ...

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 ...

technical environment. Expertise in AI and Machine Learning, including agent-based AI, RAG (Retrieval Augmented Generation), multi-agent systems and conversational agents. Strong programming skills in Python, Java or .NET. Experience with GenAI and LLMs (e.g. ChatGPT ...

outside of simulation. The team is highly technical and collaborative, so you’ll be involved not just in development, but also in shaping system architecture and contributing to longer-term technical direction. Key Responsibilities Develop probabilistic and machine learning models for decision-making and control Build and refine … methods or reinforcement learning Desirable: Experience working with robotic systems or autonomous platforms Familiarity with SLAM, path planning or multi-agent systems Knowledge of ROS/ROS2 or robotics simulation tools Understanding of control systems and sensor fusion Experience ...

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 ...