About this role
Salary: £? - ? per year
Requirements: Strong experience designing and deploying Agentic AI and Generative AI solutionsHands-on experience with Large Language Models and AI orchestration frameworksExpertise in LangChain, LangGraph, CrewAI or similar agent frameworksStrong understanding of RAG architectures, vector databases and contextual retrieval strategiesExperience implementing advanced prompt engineering techniquesKnowledge of Model Context Protocol integrationsExperience with Transformer architectures and the Hugging Face ecosystemStrong backend development experience in one or more of Java, Python or Node.jsFront-end development experience using React and TypeScriptExperience deploying containerised applications using Kubernetes or OpenShiftStrong understanding of cloud-native architecture principlesExperience working with CI/CD tools including GitHub Actions, Jenkins or TektonExperience developing multi-source data ingestion pipelinesUnderstanding of event-driven architectures and intelligent automation solutionsAbility to integrate structured and unstructured data sources into AI-powered applicationsExperience delivering AI solutions within highly regulated environmentsFinancial Services or Banking sector experienceKnowledge of enterprise integration patterns and event-streaming technologiesExperience working in Agile delivery teams Responsibilities: Design, develop and deploy Agentic AI and Generative AI applications using modern LLM technologiesBuild AI agent ecosystems leveraging frameworks such as LangChain, LangGraph and CrewAIDevelop and implement Retrieval-Augmented Generation pipelines to improve application accuracy, relevance and contextual awarenessCreate advanced prompt engineering strategies and integrate Model Context Protocol capabilitiesDevelop intelligent workflow solutions including context-aware and ambient intelligence applicationsIntegrate and process data from multiple internal and external sourcesDesign and implement event-detection algorithms and real-time intelligence capabilitiesBuild scalable backend services and APIs supporting AI-powered applicationsDevelop modern user interfaces and web applications to support AI-driven solutionsCollaborate with architects, product teams and stakeholders to define technical solutions and delivery roadmapsEnsure solutions are deployed using enterprise-grade CI/CD and cloud-native engineering practices Technologies: Agentic AIAIBackendCI/CDCloudGitHubSupportJavaJenkinsKubernetesLLMOpenShiftPythonRAGReactTypeScriptWebNodeJSAI AgentsDevOpsMCP More:
We are recruiting for an AI Application Developer to join a high-performing engineering team on a 6-month contract basis, working remotely with occasional travel into our London office. The role is for a large-scale financial services client and is paid at a rate of £450 per day inside IR35. We are looking for someone with banking background experience to help deliver next-generation Agentic AI and Generative AI solutions in a regulated environment.
last updated 34 week of 2026