4 of 4 AI Agents Jobs in West London

location and experience dependent + 10% company bonus scheme Why This Role Exists Serve Legal is entering a new chapter: evolving beyond compliance auditing into AI enabled, data-driven products, platforms, and services that shape the future of compliance and consumer intelligence. To make this happen, were launching an Innovation Labs functionan agile environment to rapidly design, build … Prototypes: Leverage AI tools to engineer digital prototypes and MVPs that translate Serve Legals datasets into usable, scalable products. Develop APIs, dashboards, and interactive client tools and agents for compliance and consumer insight. Run Innovation Labs Engineering: Partner with the Data Scientist to test, refine, and productionise algorithms and models. Apply lean/agile principles to develop … least one modern language (JavaScript/TypeScript, Java, Python) Web & Product Development: Frameworks (React, Node.js, Django/Flask) AI, GenAI and LLMs: OpenAI, Gemini, Grok, Llama Agentic AI: Frameworks (langchain, langgraph, Google ADK) AI enabled code tooling: Cursor, Windsurf, GitHub copilot AI powered platform development: Lovable, Replit, Bolt APIs & Microservices: RESTful APIs More ❯

AI Lead Location: London, UK Hybrid: 3 days a week from office JD: AI Lead to drive the development and deployment of next-generation agentic AI solutions using Azure OpenAI GPT-5, LangGraph frameworks, and intelligent document processing. Lead technical workstreams in building production-ready AI systems for financial automation with hands … on development approach. Required Qualifications 10+ years of experience in AI/ML engineering with 4+ years in agentic AI and LLM systems Strong proficiency in LangGraph, LangMem, and agentic workflow development Hands-on experience with Azure OpenAI GPT-5, text-embedding-3-large, and Azure AI services Expert-level Python programming and experience … development Experience with LlamaIndex (LlamaParse, LlamaExtract) and document intelligence platforms Solid understanding of AI evaluation frameworks (LangGraph evals, Agent evals, DeepEval) Key Responsibilities Design and develop agentic AI applications using LangGraph and LangMem frameworks Build intelligent document processing pipelines using LlamaParse and Azure Document Intelligence Implement advanced RAG systems with text-embedding-3-large and Azure More ❯

Product-Focused Backend Engineer Functional Programming & Distributed Systems London (Hybrid) | £120,000£160,000 + Equity At Ncounter, were partnering with a cutting-edge AI company … on a mission to redefine how professionals in highly regulated industries interact with complex, multi-modal data. Their platform empowers users to deploy custom no-code AI agents that produce verifiable outputs with full transparency - ensuring trust, compliance, and control remain central to every decision. As a Backend Engineer, youll join a growing team working at the … forefront of AI infrastructure. This isnt just about clean code or strong delivery - its about ownership, product intuition, and building for scale. Youll be part of a lean, high-calibre engineering function where every member contributes to planning, testing, analysis, and execution. What Youll Be Doing: Building and evolving APIs that serve as the backbone for internal systems More ❯

Role: Principal AI Architect Location: London, UK Hybrid: 3 days a week from office Job Description : Principal AI Architect to lead the design and implementation of enterprise-scale AI solutions for financial services automation. Drive architectural decisions for LLM-based systems, agentic workflows, and intelligent document processing platforms serving private equity and fund management … operations. Required Qualifications 15+ years of experience in AI/ML architecture with 8+ years in enterprise AI solutions Deep expertise in LLM architectures, prompt engineering, and agentic frameworks (LangGraph, LangMem) Hands-on experience with Azure OpenAI GPT-4/5, embedding models, and Azure cloud services Strong background in Python, distributed systems, and enterprise architecture … enterprise workloads (1M+ documents, sub-second response times) Key Responsibilities Design end-to-end AI solutions for private equity fund operations and financial automation Architect scalable agentic AI frameworks using LangGraph, LangMem, and custom agent orchestration Lead technical strategy for Azure OpenAI GPT-5 integration and advanced embedding-based retrieval systems Design and implement advanced RAG More ❯