AI Application Developer

Salary: £? - ? per year

Requirements

• Strong experience designing and deploying Agentic AI and Generative AI solutions
• Hands-on experience with Large Language Models and AI orchestration frameworks
• Expertise in LangChain, LangGraph, CrewAI or similar agent frameworks
• Strong understanding of RAG architectures, vector databases and contextual retrieval strategies
• Experience implementing advanced prompt engineering techniques
• Knowledge of Model Context Protocol integrations
• Experience with Transformer architectures and the Hugging Face ecosystem
• Strong backend development experience in one or more of Java, Python or Node.js
• Front-end development experience using React and TypeScript
• Experience deploying containerised applications using Kubernetes or OpenShift
• Strong understanding of cloud-native architecture principles
• Experience working with CI/CD tools including GitHub Actions, Jenkins or Tekton
• Experience developing multi-source data ingestion pipelines
• Understanding of event-driven architectures and intelligent automation solutions
• Ability to integrate structured and unstructured data sources into AI-powered applications
• Experience delivering AI solutions within highly regulated environments
• Financial Services or Banking sector experience
• Knowledge of enterprise integration patterns and event-streaming technologies
• Experience working in Agile delivery teams

Responsibilities

• Design, develop and deploy Agentic AI and Generative AI applications using modern LLM technologies
• Build AI agent ecosystems leveraging frameworks such as LangChain, LangGraph and CrewAI
• Develop and implement Retrieval-Augmented Generation pipelines to improve application accuracy, relevance and contextual awareness
• Create advanced prompt engineering strategies and integrate Model Context Protocol capabilities
• Develop intelligent workflow solutions including context-aware and ambient intelligence applications
• Integrate and process data from multiple internal and external sources
• Design and implement event-detection algorithms and real-time intelligence capabilities
• Build scalable backend services and APIs supporting AI-powered applications
• Develop modern user interfaces and web applications to support AI-driven solutions
• Collaborate with architects, product teams and stakeholders to define technical solutions and delivery roadmaps
• Ensure solutions are deployed using enterprise-grade CI/CD and cloud-native engineering practices

Technologies

• Agentic AI
• AI
• Backend
• CI/CD
• Cloud
• GitHub
• Support
• Java
• Jenkins
• Kubernetes
• LLM
• OpenShift
• Python
• RAG
• React
• TypeScript
• Web
• NodeJS
• AI Agents
• DevOps
• MCP

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